Talend Real Time BIG Data Jobs in Bengaluru

Senior Software Engineer (Backend) Location: Bengaluru Hiring is still rooted in outdated processes manual screening, unconscious bias, long feedback cycles, and excessive administrative overhead. Organizations spend more time managing hiring than discovering real talent. At Talview, we re changing that with AI that actually works. We build GenAI-powered hiring and assessment platforms that make recruitment faster, fairer, and scalable. Our AI Products Alvy The world s first AI Proctoring Agent. Ivy A conversational AI Interviewer transforming first-round screenings. Our impact: 10M+ assessments delivered across 120+ countries. The Role We are looking for a Senior Software Engineer (Backend) to build high-performance systems. You will work across Talview s backend ecosystem including PostgreSQL, Redis, AWS Lambda, GraphQL, Hasura, Temporal, and microservices to deliver secure, reliable, and globally scalable solutions. What You ll Do Design and operate scalable microservices supporting millions of assessments. Monitor and optimize system performance and efficiency. Own backend services end-to-end from development to maintenance. Collaborate with Frontend, QA, Product, and Customer Success teams. Solve engineering challenges directly impacting platform stability. You Might Be a Fit If You Have Required Qualifications: 4 6 years of backend engineering experience, primarily with Node.js. Deep understanding of OOP, design patterns, and SOLID principles. Experience with unit, integration, and functional testing. Strong knowledge of distributed systems and SQL (PostgreSQL). Working knowledge of Docker, Kubernetes, and microservices. Familiarity with: Time-series & Messaging: InfluxDB, Prometheus, Kafka, RabbitMQ, SQS. Caching & Frameworks: Redis, Hasura, Apollo. Cloud: AWS S3, Azure Blob. Bonus Points: Experience in SaaS or high-scale product environments. Hands-on experience with AI-assisted coding tools (Cursor, Windsurf, etc.). Understanding of Agile/Scrum methodologies. Our Culture: The 5Cs We re driven by Collaboration, Commitment, Credence, Customer-centricity, and Candor. We work together, ship quality, and communicate openly. What You Get Competitive compensation and best-in-class hardware. Flexibility: 5-day work week and flexible hours. Growth: Accelerated career paths in a fast-scaling organization. Perks: Stocked pantry, monthly lunches, and annual offsites.

Position: Mechatronics & Big Data Scientist Developer Department: Research & Development Reporting To: General Manager Location: Bengaluru Key Responsibilities Machine Learning: Select features, build, and optimize classifiers using advanced machine learning techniques. Data Mining: Perform data mining using state-of-the-art methods to extract valuable insights from large datasets. Data Enhancement: Extend the company s datasets with third-party data sources when necessary to improve model accuracy and relevance. Data Collection & Processing: Improve data collection procedures to include all necessary information for building analytic systems. Data Cleansing & Integrity: Process, cleanse, and verify the integrity of data used for analysis to ensure reliable results. Ad-hoc Analysis: Perform ad-hoc analysis as needed, presenting the results in a clear, actionable manner. Anomaly Detection: Design and implement automated anomaly detection systems, tracking their performance over time to ensure accuracy. Behavioral Competencies Data-Driven: Strong inclination toward working with data and applying analytical thinking to solve complex problems. Detail-Oriented: Meticulous in data analysis and system development to ensure quality and precision in results. Skills and Expertise Machine Learning Algorithms Strong understanding of machine learning techniques and algorithms such as k-NN, Naive Bayes, SVM, Decision Forests, etc. Data Science Tools Experience with common data science toolkits like R, Weka, NumPy, and MatLab. Proficiency in at least one (preferably NumPy or R) is highly desirable. Data Visualization Skilled in data visualization tools such as D3.js, GGplot, or similar. Database Management Experience with query languages such as SQL, Hive, Pig, NiFi, or others depending on the company s stack. Familiarity with NoSQL databases like InfluxDB, MongoDB, Cassandra, HBase. Statistical Analysis Strong applied statistics skills, including distributions, statistical testing, and regression analysis. Programming Skills Good scripting and programming skills in languages like PHP, Slim, SQL, and Laravel. Big Data Technologies Knowledge of Hadoop, HDFS, NiFi, and other big data platforms and technologies. Qualifications Essential: MTech, MS, or equivalent in Mechatronics, Computer Science, or a related field. Experience: Minimum 2 years of hands-on experience in developing SDKs and working with Big Data platforms. Proven track record in machine learning, data mining, and data science projects. Qualification : MTech, MS, or equivalent in Mechatronics, Computer Science, or a related field

Lead Software Engineer - Scale & Performance Location: Bengaluru Experience: 6 12 years About VuNet VuNet is a pioneer in Business Journey Observability, using Big Data and Machine Learning to revolutionize digital experiences in the financial services industry. Our platform delivers end-to-end visibility into customer journeys, helping organizations proactively resolve issues, ensure operational resilience, and deliver superior user satisfaction. With over 28 billion digital transactions monitored every month and serving more than 300 million users globally, VuNet is shaping the future of observability for some of the largest banks and financial institutions. We are Series B funded, part of NASSCOM s DeepTech Club, and recognized by global analysts such as Gartner and Omdia. Your Role: Lead Software Engineer - Scale & Performance As a Lead Software Engineer for Scale & Performance, you ll own the performance and scalability benchmarks for VuNet s observability platform. You will work with cutting-edge technologies, design robust test frameworks, and ensure that our platform scales seamlessly to meet the demands of millions of users. Roles & Responsibilities Own performance and scalability benchmarking for key platform components (ingestion pipelines, data storage, and query services). Design and execute load, stress, soak, and capacity tests across microservices, agents, and ingestion layers. Identify and resolve performance bottlenecks in both infrastructure (CPU/memory/IO) and application layers (API latency, throughput, GC behavior). Develop and maintain performance test frameworks, preferably using Kubernetes-based environments. Collaborate with DevOps and SRE teams to optimize system configurations (Kubernetes, Postgres/TimescaleDB, ClickHouse, Kafka) for scale. Implement OpenTelemetry for service instrumentation to monitor system health and latency (p50/p95/p99 metrics). Contribute to capacity planning, scaling strategies (horizontal/vertical), and resource optimization. Analyze production incidents related to scaling issues and drive permanent fixes. Work with engineering teams to design scalable architecture patterns and define SLIs/SLOs for system performance. Document performance baselines, tuning guides, and scalability best practices for internal use. What You Bring Mandatory Skills: Strong background in performance engineering for large-scale distributed systems or SaaS platforms. Expertise in Kubernetes, container runtimes (containerd/Docker), and resource profiling in containerized environments. Solid understanding of Linux internals, CPU/memory profiling, and network stack tuning. Hands-on experience with observability tools (Prometheus, Grafana, OpenTelemetry, Jaeger, Loki, Tempo, etc.). Familiarity with observability platform datastores like ClickHouse, PostgreSQL/TimescaleDB, Elasticsearch, or Cassandra. Experience with performance benchmarking tools such as k6, Locust, JMeter, or custom Golang/Python scripts. Ability to interpret system metrics (CPU usage, memory, GC, latency) and correlate across different layers. Nice-to-Have Skills: Experience with agent benchmarking (OpenTelemetry Collector, custom data shippers). Exposure to streaming systems like Kafka, NATS, or Pulsar. Familiarity with CI/CD pipelines for performance testing and regression tracking. Knowledge of cost optimization and capacity forecasting in cloud environments (AWS/GCP/Azure). Proficiency in Go, Python, or Bash scripting for automation and data analysis. Life at VuNet: At VuNet, we're building a world-class observability platform, and we re just getting started. You ll be part of a passionate, problem-solving team that embraces collaboration, fast learning, and staying ahead of emerging technologies like Gen AI. We foster a high-trust, inclusive culture where collaboration, ownership, and innovation are central to our success. If you're looking to work on cutting-edge tech, make a real impact, and grow with a supportive team you ll fit right in at VuNet. Benefits: Comprehensive health insurance coverage for you, your parents, and dependents. Mental wellness and 1:1 counseling support. A culture that promotes continuous learning, innovation, and career growth. Transparent, inclusive, and high-trust workplace. Opportunities for skill enhancement with training programs focused on new Gen AI technologies.

Position Title: Data Architect Department: R&D Engineering Location: Bangalore Experience: 15+ Years Industry: SaaS / Conversational Engagement / Customer Experience Technology About Acqueon: Acqueon is a leading provider of conversational engagement software that enables customer-centric enterprises to proactively engage with their customers across voice, messaging, and email channels. By leveraging a powerful data platform, predictive models, and intelligent workflows, we help brands enhance customer experience, improve collections, and drive revenue growth. With over 200 global clients, Acqueon is at the forefront of AI-powered customer engagement. Role Overview: We are seeking a visionary and technically hands-on Data Architect to lead the development of enterprise-scale data platforms and engineering solutions. You will work closely with Product Owners, Engineering Leadership, and cross-functional teams to define and execute a strategic technology roadmap aligned with Acqueon s business goals. As a key member of our R&D team, you ll lead the design and development of highly scalable, low-latency, fault-tolerant data systems, while mentoring top-tier engineering talent and driving high-impact product features. Key Responsibilities: Architect & Lead: Design and lead development of scalable data architectures and solutions supporting real-time and batch processing, analytics, and enterprise applications. Strategic Ownership: Define and implement the data strategy, technology roadmap, and long-term architecture vision for Acqueon s platforms. Leadership: Manage and mentor a team of senior developers and engineers, fostering innovation, ownership, and delivery excellence. Cross-functional Collaboration: Work with Product, Sales, Engineering, and Customer teams to align on feature development and delivery strategy. Project Management: Oversee the end-to-end delivery of complex features, ensuring adherence to timelines, scalability, and quality standards. System Design: Review architecture and design for robustness, performance, and fault tolerance, including multi-region, high-availability setups. R&D Enablement: Collaborate with international R&D teams and align development efforts across global product initiatives. Innovation & Optimization: Drive architectural decisions, recommend performance improvements, and ensure best practices for enterprise-scale data solutions. Required Skills & Experience: Education: Bachelor s or Master s in Computer Science, IT, or related field. Experience: 15+ years in software development and data architecture, with leadership experience in managing engineering teams. Architecture Expertise: Proven experience in designing scalable, concurrent, distributed, and highly available data systems. Database Proficiency: Strong in SQL/NoSQL databases Experience with MS SQL, Aerospike, DynamoDB, Snowflake In-depth knowledge of micro-partitions, cluster keys, warehouse cloning, time travel in Snowflake Strong in writing and tuning complex stored procedures ETL & Pipelines: Experience in building ETL pipelines and integrating data from S3, Kinesis Streams, APIs Cloud & DevOps: Strong understanding of Docker, AWS, and cloud-native deployment architectures Setting up multi-region resilience, disaster recovery strategies Technologies: Elasticsearch, AWS data services, container orchestration Big Data & Analytics: Exposure to analytical processing and statistical modeling is a plus Leadership: Strong project management skills, stakeholder engagement, and team mentoring experience Preferred Qualifications: Background in customer engagement, VDI, Cybersecurity, or Secure Access technologies Previous experience working with distributed R&D and product teams Knowledge of Acqueon, Citrix, VMware, Omnissa platforms is a plus Certifications in AWS, Snowflake, or similar technologies are an advantage Soft Skills & Behavioral Traits: Strong verbal and written communication skills Strategic thinking with hands-on execution ability High accountability and ownership mindset Ability to work in a fast-paced, dynamic, startup-like environment Comfortable with ambiguity and context-switching Team player with the ability to lead by influence and collaboration Be a part of a fast-growing, AI-driven SaaS company disrupting the customer engagement space Work on cutting-edge technologies with global product teams Ownership of end-to-end solutions and ability to shape the data platform of the future A culture that promotes innovation, agility, and career growth

Senior Associate Data Engineering L2 Location: Bengaluru, India Department: Engineering Data Employment Type: Full-Time About the Role As a Senior Associate Data Engineering (L2) at Publicis Sapient, you will lead technical solutions that drive digital transformation by building scalable, high-performance data platforms. You ll be responsible for translating business and technical requirements into modern, data-centric solutions using Big Data technologies, cloud services (Azure), and advanced data engineering practices. Key Responsibilities Design and implement data ingestion, integration, and transformation processes from multiple heterogeneous sources in both batch and real-time. Build scalable data platforms using Hadoop stack components such as HDFS, Kafka, Spark, Hive, NiFi, Oozie, Airflow, Flink, and Storm. Develop real-time analytics, aggregation, and search features to support various data-driven applications. Collaborate closely with cross-functional teams on data infrastructure, computation frameworks, and data visualization. Apply cloud-native principles and Azure services to build and deploy data pipelines. Ensure performance optimization and data pipeline tuning. Work with NoSQL and MPP platforms like MongoDB, Cassandra, Redshift, Azure SQL DW, HBase, BigQuery. Contribute to infrastructure, automation, and DevOps for data pipelines using CI/CD practices. Ensure data governance, lineage, and cataloging using tools like Collibra or Alation. Required Qualifications 6 8 years of professional experience in software/data engineering. Minimum of 3 years hands-on experience with Big Data technologies. Strong programming expertise in Java (preferred), Scala, or Python. Expertise in the Hadoop ecosystem and real-time stream processing tools (Kafka, Pulsar, Spark Streaming, etc.). Hands-on experience with Azure data services (e.g., Data Factory, Synapse, ADLS, Databricks). Experience working with modern ETL tools (Informatica, Talend, etc.) and traditional RDBMS platforms (Oracle, PostgreSQL, SQL Server, MySQL). Bachelor's degree in Computer Science, Engineering, or related field. Nice to Have Certifications in Azure Data Engineer, GCP Big Data, or related cloud specializations. Experience with distributed messaging frameworks (ActiveMQ, RabbitMQ, Solace). Familiarity with microservices architecture and search technologies (Elasticsearch). Performance tuning of distributed data processing systems. Exposure to data governance, security, and metadata management. Benefits and Culture at Publicis Sapient Gender-neutral workplace policies 18 paid holidays annually Generous parental leave + new parent transition support Flexible work arrangements Access to Employee Assistance Programs (wellness & well-being) A dynamic culture focused on learning, creativity, and collaboration Qualification : Bachelor's degree in Computer Science, Engineering, or related field.

Job Title: Senior Manager Data Science, Data Modelling & Analytics Location: Bengaluru Department: Insights & Analysis About the Role: As a Senior Manager, you will lead a team of data scientists and analysts, driving the development and deployment of advanced analytics solutions that enable data-driven decision-making. This role blends strategic leadership with hands-on technical expertise, playing a critical part in delivering impactful insights and analytics across the organization. Key Responsibilities: Hands-On Technical Contribution: Design, develop, and deploy advanced machine learning models and statistical analyses to address complex business challenges. Utilize Python, R, SQL, and other tools to manipulate data and build predictive models. Manage end-to-end data pipelines including collection, cleaning, transformation, and visualization. Collaborate with IT and data engineering teams to integrate analytics solutions into production environments. Provide thought leadership on analytics solutions and metrics aligned with business needs. Team Leadership & Development: Lead, mentor, and manage a team of data scientists and analysts, fostering collaboration and innovation. Guide career development, conduct performance evaluations, and promote skill enhancement. Encourage continuous learning and adoption of best practices in data science methodologies. Strategic Planning & Execution: Collaborate with senior leadership to define and execute data science strategy aligned with business goals. Identify and prioritize high-impact analytics projects that deliver business value. Ensure timely and quality delivery of analytics solutions balancing scope and resources. Client Engagement & Stakeholder Management: Act as primary point of contact for clients, translating business challenges into data science solutions. Lead client presentations, workshops, and discussions, effectively communicating complex analytical concepts. Build and maintain strong client relationships, managing expectations and deliverables. Deliver regular reports and dashboards to senior management and stakeholders. Bridge communication between technical teams and business units to align analytics initiatives with organizational objectives. Cross-Functional Collaboration: Work closely with Business Intelligence, Market Analytics, and Data Engineering teams to integrate analytics into business processes. Translate complex insights into actionable recommendations for non-technical stakeholders. Facilitate data-driven workshops and presentations across the organization. Collaborate with support functions to provide timely leadership updates on operational metrics. Governance & Compliance: Ensure compliance with data governance policies and data privacy regulations (e.g., GDPR, PDPA). Implement best practices for data quality, security, and ethical analytics use. Stay abreast of industry trends and regulatory changes affecting data analytics. Qualifications: Education: Bachelor s or Master s degree in Data Science, Computer Science, Statistics, Mathematics, or related field. Experience: 12+ years in advanced analytics, data science, data modelling, machine learning, or related fields. 5+ years in leadership roles managing analytics teams and projects. Experience in BFSI, Hi-Tech, Retail, or Healthcare industries preferred. Experience with media data is a plus. Technical Skills: Proficiency in Python, R, SQL. Experience with data visualization tools like Tableau, Power BI. Familiarity with big data platforms (Hadoop, Spark) and cloud services (AWS, GCP, Azure). Strong knowledge of machine learning frameworks and libraries. Soft Skills: Excellent analytical and problem-solving skills. Strong communication and interpersonal abilities. Ability to influence and drive organizational change. Strategic thinker focused on business outcomes. Desirable Expertise: Advanced Analytics Techniques: Descriptive Analytics: Statistical analysis, data visualization. Predictive Analytics: Regression, time series forecasting, classification, market mix modelling. Prescriptive Analytics: Optimization, simulation modelling. Text Analytics: NLP, sentiment analysis. Machine Learning Techniques: Supervised Learning: Linear/logistic regression, decision trees, random forests, gradient boosting, SVMs. Unsupervised Learning: Clustering, PCA, anomaly detection. Reinforcement Learning: Q-learning, deep Q-networks. Generative AI & Large Language Models (Good to Have): Experience with GPT, Gemini, LLAMA, etc. for text generation, summarization, conversational agents. Hyperparameter tuning, prompt engineering, embeddings, fine-tuning. Additional Skills: Proficiency with Tableau or Power BI (advanced visualization). Strong data management, structuring, and harmonization skills.

Senior Financial Data Analytics Location: Bengaluru (Rathi Legacy, Rohan Tech Park, Hoodi) Team: Finance Staff Employment: Full-Time | Hybrid About Cognite Cognite is a global SaaS leader driving industrial digital transformation with AI and data solutions like Cognite Atlas AI and Cognite Data Fusion. Recognized for innovation and impact, we serve industries such as Oil & Gas, Chemicals, Pharma, and Manufacturing. Role Overview We re looking for a data-driven FP&A Data Analyst to strengthen our financial data infrastructure, deliver impactful analytics, and support decision-making through automation and reporting. You ll collaborate across Finance, Revenue Ops, and other teams, and contribute to FP&A software implementation and management. Key Responsibilities Build and maintain a scalable, reliable financial data foundation. Develop insightful Power BI dashboards and reports to aid financial planning and forecasting. Perform deep-dive analyses on financial trends and business drivers. Automate reporting processes and streamline data workflows. Collaborate with FP&A, Accounting, and BI teams to align insights with business goals. Support FP&A software selection, implementation, and ongoing management. Handle ad-hoc data requests, financial modeling, and scenario planning. Your Profile Bachelor s degree in Finance, Accounting, Economics, Data Science, or related (Master s/MBA preferred). 5 8 years of FP&A, data modeling, and financial reporting experience. Strong skills in Power BI (or Tableau), advanced SQL, and financial modeling. Experience automating reporting and managing FP&A tools. Familiarity with ERP/financial systems (e.g., NetSuite). Detail-oriented, analytical thinker with excellent communication and collaboration skills. SaaS/technology industry experience and project management skills are a plus. Inclusive culture with 70+ nationalities and strong DEI focus. Modern, collaborative office in Bengaluru with hybrid work options. Flat organizational structure with direct access to decision-makers. Opportunity to work on impactful projects alongside top industry talent. Engage in Cognite community events and contribute to innovative digital transformation efforts. Excited to help shape the future of financial analytics at Cognite? Apply now! Qualification : Bachelors degree in Finance, Accounting, Economics, Data Science, or related (Masters/MBA preferred).

Data Scientist Experience: 5+ Years Location: Bangalore, Karnataka, India Job Type: Full Time Job Summary We are seeking an experienced Data Scientist with over 5 years of expertise to join our innovative team in Bangalore. The ideal candidate will have hands-on experience in advanced statistical methods, machine learning, and deep learning frameworks, combined with strong skills in deploying models at scale. Key Responsibilities Apply advanced Statistics and Operations Research methods to solve complex business problems. Develop and deploy predictive and machine learning models using frameworks such as PyTorch, TensorFlow, Keras, and XGBoost. Utilize data engineering and big data tools including PySpark, Databricks, and Flask for building scalable data solutions. Implement and fine-tune NLP models like RNN, LSTM, and attention-based architectures, leveraging pre-trained models from Stanford, IBM, Azure, and OpenAI. Design and optimize efficient SQL queries to extract data from large databases. Work with visualization tools like D3.js, Dash Plotly, and deploy interactive dashboards using Streamlit. Utilize graph databases such as Neo4j for complex data relationships. Manage version control with tools like GitHub or Bitbucket. Deploy machine learning models into production environments using MLOps practices on cloud platforms such as AWS or Azure. Required Skills 5+ years of professional experience as a Data Scientist or similar role. Strong foundation in statistics, machine learning, and deep learning techniques. Proficient in Python-based data science libraries and frameworks. Hands-on experience with cloud-based MLOps and deployment. Excellent SQL skills for data extraction and manipulation. Experience with version control systems and collaborative development. Familiarity with NLP techniques and modern pre-trained language models. Strong problem-solving and communication skills. Qualifications Any graduate degree in Computer Science, Statistics, Mathematics, Engineering, or related field. Join a forward-thinking company in Bangalore, where you will work with cutting-edge technologies to create impactful data-driven solutions. Grow your career in an environment that values innovation, diversity, and continuous learning.

Senior Data Engineer Location: Bengaluru, India Employment Type: Full-time, On-site About Neuron7.ai Neuron7.ai is a rapidly growing AI-first SaaS company that is revolutionizing the world of service intelligence. Backed by leading Silicon Valley venture capitalists and a distinguished group of angel investors, we are recognized as a startup to watch. Our AI-driven platform delivers service predictions in seconds by analyzing structured and unstructured data, alongside insights from top experts. We specialize in complex service environments like high-tech devices, manufacturing, and medical devices, empowering service leaders to optimize key metrics like first-call resolution, turnaround time, and service margins. At Neuron7.ai, you will be part of a dynamic, innovative team that is pushing the boundaries of service intelligence. We value creativity, collaboration, and a relentless commitment to innovation. This is your chance to join a fast-growing startup and help redefine how AI impacts the future of service optimization. About the Role We are building a real-time analytics platform to improve uptime of connected devices and minimize maintenance costs. This involves collecting, analyzing, and leveraging large volumes of sensor data for observability and predictive analytics. As a Senior Data Engineer, you will have the opportunity to build and maintain scalable, high-performance data systems using modern data engineering tools. The ideal candidate will have hands-on experience with Python, Scala, ELT processes, Lakehouse architecture, Apache Spark, Databricks, real-time streaming systems like Kafka and Flink, and observability tools such as the ELK stack, Prometheus, and Grafana. What You ll Do: Data Model Development: Design and implement advanced data models to extract insights from complex datasets. Collaborative Problem Solving: Work with cross-functional teams to devise data-driven solutions for service optimization. Experimental Analysis: Conduct experiments and analyses to enhance service predictions and outcomes. Actionable Insights: Present findings and actionable recommendations to stakeholders, translating complex data insights into clear, understandable concepts. Mentorship: Guide and mentor junior team members, fostering a collaborative and knowledge-sharing environment. What We re Looking For: Experience: At least 4 years of hands-on experience in data engineering, with a focus on building large-scale data systems. Data Pipeline Expertise: Strong proficiency in Python and Scala for developing data pipelines. Big Data Tools: Proven experience with Apache Spark and Databricks for big data processing and analytics. Observability Tools: Hands-on experience with observability tools like Prometheus, Grafana, and the ELK stack or OpenSearch. Real-Time Data Streaming: Experience working with real-time streaming systems such as Kafka and Flink. Cloud Platforms: Familiarity with cloud platforms like Azure, GCP, or AWS. Problem-Solving Skills: Strong analytical and problem-solving abilities to work with complex data systems in fast-paced environments. Collaboration: Excellent communication and teamwork skills, with the ability to work effectively with cross-functional teams. What We Do and Value: At Neuron7.ai, we prioritize integrity, innovation, and a customer-centric approach. Our mission is to leverage advanced AI technology to enhance service decision-making and we are dedicated to delivering excellence in all aspects of our work. Company Perks & Benefits: Competitive salary, equity, and spot bonuses Paid sick leave Latest MacBook Pro for your work Comprehensive health insurance Paid parental leave Flexible work arrangements work from home or from our vibrant Bengaluru office Our Commitment to Diversity and Inclusion: Neuron7.ai is committed to fostering a diverse and inclusive workplace. We ensure equal employment opportunities without discrimination based on race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, marital status, or any other characteristic protected by law. If you re passionate about using data to drive service intelligence and want to be part of a forward-thinking team, we d love to hear from you!

Position: Data Integration Developer Talend Location: Bangalore Employment Type: Full-time Experience Required: 4 to 7 years Overview: We are seeking a Data Integration Developer with strong expertise in Talend to join our growing data engineering team. This role is ideal for professionals who are passionate about designing and building robust, scalable ETL/ELT pipelines and integrating enterprise data across cloud and on-premise platforms. You will work closely with data architects, business analysts, and reporting teams to support data transformation, integration, and analytics efforts. Key Responsibilities: ETL/ELT Solutions Development: Design, develop, and deploy scalable ETL/ELT processes using Talend Data Integration (on-prem and cloud). Data Transformation & Integration: Implement data transformation using stored procedures and other data processing techniques. Report Development Support: Collaborate with reporting teams to support dashboard/report creation using tools like MicroStrategy and Power BI. Documentation & Data Governance: Create detailed pipeline documentation, configurations, and data workflows. Performance Optimization: Monitor pipeline performance, identify bottlenecks, and troubleshoot data integration issues. Essential Skills: Hands-on experience with Talend Suite (Talend Data Integration, Talend Cloud) Experience with Snowflake and writing Stored Procedures Knowledge of ETL/ELT design, data warehousing, and data modeling Familiarity with JSON, XML, CSV data formats Experience with data quality frameworks and job monitoring/scheduling tools Proficiency in Agile methodology and tools like JIRA Desirable Skills: Experience with reporting tools such as MicroStrategy and Power BI Skills in scripting languages: Python, Java, or Shell Understanding of cloud platforms (AWS, GCP, Azure) and related data services Qualifications: Bachelor s or Master s degree in Computer Science, Engineering, or a related field Minimum of 3+ years of Talend development experience Qualities We Value: Strong verbal and written communication skills Experience in Agile and cross-functional team environments Problem-solving mindset and ability to work under minimal supervision Quick learner with a passion for data and process improvement Work with modern cloud data integration and enterprise tools Collaborate with global clients and expert teams Be part of cutting-edge data platform transformation initiatives Apply today and be part of our mission to deliver next-gen, data-driven insights. Qualification : Bachelors or Masters degree in Computer Science, Engineering, or a related field

Job Title: Data Engineer Location: Bengaluru, Karnataka Experience: 5 to 8 Years Work Modality: Full-time (Work from office) Job Description: We are looking for an experienced Data Engineer to join our team and take responsibility for designing, developing, and maintaining scalable ETL/ELT pipelines. This is a full-time position based in Bengaluru, Karnataka, and you will be collaborating with cross-functional teams to define data requirements and ensure data accuracy, consistency, and integrity. Your role will also involve optimizing data workflows, automating processes, and ensuring high availability and reliability of data pipelines. Key Responsibilities: ETL/ELT Pipeline Development: Design, develop, and maintain scalable ETL/ELT pipelines to support data transformation and integration processes. Data Warehouse & Data Lake Optimization: Build and optimize data warehouses, data lakes, and real-time streaming solutions to support large-scale data operations. Collaboration & Data Requirements: Collaborate with cross-functional teams, such as product, data science, and analytics teams, to define data requirements and ensure data accuracy and consistency. Database Structure & Schema Management: Develop and maintain database structures and schemas to ensure efficient data storage and retrieval. Data Workflow Optimization: Optimize data workflows for performance, reliability, and scalability, ensuring the highest level of efficiency. Data Security & Compliance: Implement data security, governance, and compliance best practices to ensure that data is handled securely and meets industry standards. Pipeline Monitoring & Troubleshooting: Monitor, troubleshoot, and improve data pipelines to ensure uptime, reliability, and smooth data processing. Process Automation: Automate data-related processes to improve efficiency and reduce manual intervention, increasing the overall speed of data flow. Required Qualifications: Experience: 5+ years of experience in data engineering or 3-4 years of experience as a Data Engineer. Technical Skills: Strong proficiency in SQL and database management systems such as PostgreSQL, MySQL, SQL Server, etc. Experience with ETL tools such as Pentaho, Talend, Cdata, and SSIS. Exposure to Python, Java, or Scala for data processing is a plus. Experience with big data technologies such as Apache Spark, Hadoop, or Kafka. Familiarity with cloud services (AWS, Azure) and data storage solutions such as S3, Redshift, Snowflake, or BigQuery. Strong knowledge of data modeling, warehousing concepts, and data architecture best practices. Soft Skills: Excellent communication skills with the ability to collaborate effectively across teams. Strong problem-solving skills and the ability to work with large, complex datasets. What We Offer: Competitive Salary: Attractive salary based on experience and expertise. Collaborative Work Environment: Work in a dynamic and fast-paced environment with a team that fosters innovation and collaboration. Growth Opportunities: Opportunities to enhance your skills and career growth in the data engineering field. Comprehensive Benefits: Benefits package designed to support work-life balance and overall employee well-being.

Our Company At Adobe, we're changing the world through digital experiences. We empower everyone from emerging artists to global brands with everything they need to design and deliver exceptional digital experiences. We're passionate about helping people create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We are on a mission to hire the very best talent and are committed to creating exceptional employee experiences where everyone is respected and has equal access to opportunity. New ideas can come from anywhere, and the next big idea could be yours! About the Team The Adobe Content Platform and Collaboration (ACPC) group is building a highly scalable and available content platform for Adobe s SaaS offerings, running on Amazon AWS. We're pushing the future of SaaS development by leveraging the latest technology stacks and design thinking. Our dedicated team of developers is building low-latency, cloud-scale foundational components such as Cache, Storage, Databases (SQL and NoSQL), Queuing, Pub/Sub, etc., to create a standard for developing, deploying, operating, and governing Adobe SaaS solutions, catering to millions of requests every day. What the Team Does: We love writing software. We love solving complex problems with simple, elegant designs. We build the platform using modern container orchestration technologies. We take a long-term architectural approach, ensuring that the platform supports both current and future needs of all Adobe services. We use best-in-class tools like GitHub, Slack, and any tools that help us stay productive. We are committed to adapting our processes to meet evolving needs. We trust each other to do our jobs exceptionally well. What You ll Do: Design and develop one or more services/components within the platform. Take responsibility for the full lifecycle of the project from user story to design, development, testing, documentation, and maintenance. As a senior team member, you will be responsible for setting code guidelines for the rest of the team. Adhere to standard software engineering practices. Collaborate in a highly dynamic, ever-evolving environment. Work with geographically distributed teams. Mentor junior team members to help them grow and improve. What You Need to Succeed: B.Tech/M.Tech in Computer Science (or equivalent experience) with an excellent academic record. 5 to 8 years of software development experience, primarily in backend systems. Proficiency in data structures and algorithms. Expertise in Java and related technologies (e.g., Spring Boot). Proven experience in designing, building, evolving, and maintaining large-scale, complex software projects. Self-starter with an ability and eagerness to learn new technologies and adapt quickly. Proven experience in developing scalable Cloud-based services on AWS/Azure. Strong programming and problem-solving skills. Good written and verbal communication skills. Strong team player who thrives in a collaborative environment. Experience with Agile development practices. Prior experience with MySQL, Redis, Cassandra, DynamoDB, Kafka will be a bonus. Pure Innovation: We celebrate critical thinkers who embrace challenges and aspire to innovate. Pure Growth: At Adobe, you have the space to grow and contribute meaningfully to something impactful. Pure Team: We build each other up and set aside egos for the greater good. Adobe is proud to be an Equal Employment Opportunity and affirmative action employer. We do not discriminate based on gender, race, color, ethnicity, national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by law. Qualification : B. Tech and/or M. Tech in Computer Science with excellent academic record, or equivalent experience

Job Title: Tech Architect Experience: 7 to 10 years Education: B.E./B.Tech, MCA, M.E./M.Tech About HashedIn: We are software engineers solving business problems with a Product Mindset for leading global organizations. By combining engineering talent with business insight, we build software and products that create enterprise value. We thrive in a fast-paced learning environment, driven by extreme ownership and a fun, inclusive culture. If you are a problem solver who thrives in dynamic environments, enjoys working on cutting-edge technologies, and values collaboration and high performance, HashedIn is the place to be! Overview of the Role: As a Tech Architect, you will drive architecture and design decisions, ensuring scalability, performance, and reliability. You will play a critical role in setting up best practices, defining technical roadmaps, and ensuring high-quality delivery. This role requires hands-on technical leadership, a deep understanding of cloud platforms, architecture patterns, and modern engineering practices. Key Responsibilities: Design and deploy resilient APIs, bridging cloud infrastructure with software development. Build and manage data and pipeline management frameworks using Hadoop, Hive, Spark, HBase, Kafka Streaming, Tableau, Airflow, and cloud services like S3, Redshift, Athena, Kinesis, etc. Collaborate with cross-functional teams to build innovative, secure, and cost-effective distributed solutions. Design and develop big data solutions, real-time analytics, and streaming platforms using industry-standard technologies. Own delivery of complex components, ensuring adherence to technical and business requirements. Serve as a team lead or influential individual contributor, driving architecture decisions and best practices. Identify requirement inconsistencies, proactively highlight risks, and maintain clear communication with stakeholders. Create and maintain clear technical specifications, ensuring proper work breakdown and estimation. Support customer communication, handle critical issues, and contribute to client presentations. Set standards for software development processes and deployment methodologies, contributing to team-wide best practices. Desired Skills & Experience: 7-10 years of experience, including at least 4 years as an Application Architect or Data Architect. Strong expertise in Java, Python, UI Development, or Data Engineering. Hands-on experience with GCP, AWS, or Azure cloud platforms. Knowledge of Generative AI-enabled application design patterns is a plus. Strong understanding of cloud architecture, distributed applications, integration, and API design. Experience in technology stack selection and defining solution architectures for small to mid-sized cloud-hosted platforms. Strong grasp of design and architecture patterns, with experience in developing scalable architectures. Experience in setting up and governing engineering processes, tools, and standards. Proficient in effort estimation techniques, project planning, and defining test strategies. Experience responding to RFPs/RFIs and working directly with customers. Up-to-date with latest technology trends and engineering practices. Experience with PAAS and SAAS platforms hosted on cloud environments. Hands-on experience with infrastructure sizing and design for both on-premises and cloud platforms. Ability to understand business domains and translate requirements into scalable technical solutions. Excellent interpersonal skills, with the ability to engage and present to CXOs. Strong leadership, business communication, and consulting skills. Positive, service-oriented mindset. Qualification : B.E./B.Tech, MCA, M.E./M.Tech

Join Couchbase: Be a Part of Revolutionizing Data Solutions Position: AP Accountant (Temporary - 6 Months) About Couchbase In a world where AI is at the forefront of business transformation, traditional database systems are no longer enough. That's where Couchbase comes in. With our cutting-edge developer data platform, Capella, we re empowering businesses and developers to create scalable applications that can handle transactional, analytical, mobile, and AI workloads all seamlessly integrated in one managed solution. Trusted by over 30% of the Fortune 100, Couchbase is redefining customer experiences, accelerating AI transformations, and leading the way in cloud-to-edge innovation. Join us in shaping the future of data management. Position Overview: We're seeking a detail-oriented AP Accountant with a passion for accuracy and a solid understanding of Travel & Expense (T&E) and Accounts Payable (AP). This is a temporary six-month position at Couchbase, offering an opportunity to work with our dynamic finance team. If you have at least two years of experience in this field and a familiarity with Navan (a big plus!), we want to hear from you. Help us streamline our operations while making a real impact on our global finance team. Key Responsibilities: T&E Reimbursement Review: You'll be at the helm of reviewing global travel and expense reimbursement requests, ensuring they align with company policies and guidelines. System Support: Provide crucial support for the global travel and expense system, Navan, keeping operations running smoothly. Point of Contact: Serve as the go-to person for inquiries regarding travel and expense procedures, offering clear, concise guidance. Ad Hoc Projects: Take on travel and expense-related tasks and special projects as needed, showing your flexibility and problem-solving abilities. Month-End Close Support: Assist with the month-end close process, ensuring timely and accurate reporting of AP and T&E. Reporting Assistance: Provide support for ad-hoc reporting requests, contributing to data-driven decision-making. Couchbase is on a mission to simplify how businesses build, deploy, and consume modern applications. Our Capella platform is designed for flexibility, affordability, and unmatched price-performance. Whether from the cloud or at the edge, we help companies deliver premium customer experiences with the highest level of scalability and performance. Trusted by the Fortune 100, we are committed to enabling businesses to innovate faster, scale smarter, and deliver results. Join our journey to power the next generation of modern applications and transform how the world interacts with data. Benefits at Couchbase: Generous Time Off Program: Flexibility to care for yourself and your loved ones with ample time off. Wellness Benefits: Comprehensive medical, dental, vision, life insurance, and employee assistance programs to support your well-being. Financial Planning: RSU equity, ESPP, retirement planning, and business travel insurance to secure your financial future. Career Growth: We believe in a Be valued, Create value approach, empowering you to grow both professionally and personally. Fun Perks: Enjoy an ergonomic office setup, snacks, and food for in-office employees and a vibrant, collaborative work culture! If you are ready to join a team that values innovation, collaboration, and flexibility, Couchbase is the place for you. Help us build the future of data, and let s create something amazing together.

As a Manager of the Spark Technical Solutions team, you will lead & manage a team of Technical solution engineers and be responsible for driving deep dive technical solutions for any issues reported by Databricks customers. We expect the manager to resolve challenges with comprehensive technical and customer communication skills. You will assist our customers in their Databricks journey and provide them with the guidance, knowledge, and expertise that they need to realise value and achieve their strategic objectives using our products. The impact you will have: As a manager and member of the leadership team, you will be directly responsible for the management of Technical solution engineers, team leads and operations personnel Responsible for directly monitoring, reporting, and driving improvements to team-level metrics and KPIs, acting as an escalation point with customers and internal teams, and optimising and developing support processes and tools Responsible for working across multiple cross functional teams that include Engineering, product management, sales and customer success; manage Hiring, mentoring and onboarding new support engineers Regularly meet one-on-one with your direct reports, conducting annual reviews and career development discussions throughout the year Be a hands on manager to assist the team members in resolving issues related to Spark core internals, Spark SQL, Structured Streaming, Delta, Lakehouse and other databricks runtime features Manage and drive best practices guidance around Spark runtime performance and usage of Spark core libraries and APIs for custom-built solutions developed by Databricks customers; contribute in the development of tools/automation initiatives Own Engineering JIRA tickets and proactively work to bring quicker resolutions to customer reported issues; participate in creation of knowledge base articles Participate in weekend and weekday on-call rotation and run escalations during databricks runtime outages, incident situations, ability to multitask and plan day 2 day activities and provide escalated level of support for critical customer operational issues, etc What we look for: Min 10-12 years of experience in designing, building, testing, and maintaining Python/Java/Scala/Spark based applications in a typical project delivery and consulting environments with 4+ years working as a Manager 5+ years of hands-on experience in developing and leading any two or more of the Big Data, Hadoop, Spark,Machine Learning, Artificial Intelligence, Streaming, Kafka, Data Science, ElasticSearch related industry use cases at the production scale. Spark experience is mandatory Hands on experience in the performance tuning/troubleshooting of Hive and Spark based applications at production scale. Real time experience in JVM and Memory Management techniques such as Garbage collections, Heap/Thread Dump Analysis is preferred Working and hands-on experience with Data lakes and any SQL-based databases, Data Warehousing/ETL technologies like Informatica, DataStage, Oracle, Teradata, SQL Server, MySQL is preferred Hands-on experience with AWS or Azure or GCP is preferred Experience in implementing CI/CD, Monitoring/alerting for Production Systems Technical lead in design, implementation and support of large scale data and analytics solutions that are highly reliable, flexible, and scalable Experience in leading and managing end-to-end projects and have reported and escalated to top levels Experience in managing and leading teams in an organisation involving multiple reporting lines Strong written and verbal communication skills; very good analytical, organisational, multi-tasking skills About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide including Comcast, Cond Nast, Grammarly, and over 50% of the Fortune 500 rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark , Delta Lake and MLflow. To learn more, follow Databricks on Twitter,LinkedIn and Facebook . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visithttps://www.mybenefitsnow.com/databricks. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

As a Senior Manager of the Spark Technical Solutions team, you will lead & manage a team of Technical Solution Engineers (Spark) and be responsible for driving deep dive technical solutions for any issues reported by Databricks customers. We expect the manager to resolve challenges with comprehensive technical and customer communication skills. You will assist our customers in their Databricks journey and provide them with the guidance, knowledge, and expertise that they need to realise value and achieve their strategic objectives using our products. The impact you will have: As a manager and member of the leadership team, you will be directly responsible for the management of Technical solution engineers, team leads and operations personnel Responsible for directly monitoring, reporting, and driving improvements to team-level metrics and KPIs, acting as an escalation point with customers and internal teams, and optimising and developing support processes and tools Responsible for working across multiple cross functional teams that include Engineering, product management, sales and customer success; manage Hiring, mentoring and onboarding new support engineers Regularly meet one-on-one with your direct reports, conducting annual reviews and career development discussions throughout the year Be a hands on manager to assist the team members in resolving issues related to Spark core internals, Spark SQL, Structured Streaming, Delta, Lakehouse and other databricks runtime features Manage and drive best practices guidance around Spark runtime performance and usage of Spark core libraries and APIs for custom-built solutions developed by Databricks customers; contribute in the development of tools/automation initiatives Own Engineering JIRA tickets and proactively work to bring quicker resolutions to customer reported issues; participate in creation of knowledge base articles Participate in weekend and weekday on-call rotation and run escalations during databricks runtime outages, incident situations, ability to multitask and plan day 2 day activities and provide escalated level of support for critical customer operational issues, etc What we look for: Min 10-12 years of experience in designing, building, testing, and maintaining Python/Java/Scala/Spark based applications in a typical project delivery and consulting environments with 4+ years working as a Manager 5+ years of hands-on experience in developing and leading any two or more of the Big Data, Hadoop, Spark,Machine Learning, Artificial Intelligence, Streaming, Kafka, Data Science, ElasticSearch related industry use cases at the production scale. Big Data / Spark hands on-experience is mandatory Hands on experience in the performance tuning/troubleshooting of Hive and Spark based applications at production scale. Real time experience in JVM and Memory Management techniques such as Garbage collections, Heap/Thread Dump Analysis is preferred Working and hands-on experience with Data lakes and any SQL-based databases, Data Warehousing/ETL technologies like Informatica, DataStage, Oracle, Teradata, SQL Server, MySQL is preferred Hands-on experience with AWS or Azure or GCP is preferred Experience in implementing CI/CD, Monitoring/alerting for Production Systems Technical lead in design, implementation and support of large scale data and analytics solutions that are highly reliable, flexible, and scalable Experience in leading and managing end-to-end projects and have reported and escalated to top levels Experience in managing and leading teams in an organisation involving multiple reporting lines About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide including Comcast, Cond Nast, Grammarly, and over 50% of the Fortune 500 rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark , Delta Lake and MLflow. To learn more, follow Databricks on Twitter,LinkedIn and Facebook . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visithttps://www.mybenefitsnow.com/databricks. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

NVIDIA is searching for a highly motivated senior software engineer for the team that is building capabilities for a next generation Network management and Telemetry system in cloud using modern design principles at internet scale.The person will be will be responsible for building distributed cloud applications. It will be a highly scalable, modern network operations toolset that provides visibility, troubleshooting, validation and telemetry for Ethernet networks. What you'll be doing: Development of distributed cloud applications, micro services and SAAS platform with high throughput and reliability. Contribute to applications like data ingestion, distributed computing, near real time analytic engines, RESTful APIs and user interfaces. Drive requirement discussions, design and product improvements. Drive improvements in areas like performance, team productivity, automation, quality, monitoring and reliability of applications. Working closely with the system architects, UI/UX and test engineers What we need to see: Bachelors/Masters Degree in Computer Science/Engineering 5+ years of experience in complex microservices based architectures. Extensive programming experience in Scala, Go, Python Fluent in coding and rapid prototyping. Strong experience in developing, maintaining, and testing of scalable distributed applications. Experience with stream processing frameworks, such as Kafka,Flink , Spark Streaming, Samza etc. Background with NoSQL databases such as Cassandra, MongoDB. Experience with orchestration/scheduling technologies like Kubernetes, SLURM, Nomad etc Ways to stand out from the crowd: Experience with public clouds like AWS. Worked in Reactive application designs (https://www.reactivemanifesto.org/). Experience in network stacks, protocols, SDN. NVIDIA is widely considered to be one of the technology world s most desirable employers. We have some of the most forward-thinking and hardworking people on the planet working for us. If you're creative, passionate and self-motivated, we want to hear from you! NVIDIA is leading the way inground-breakingdevelopments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Qualification : Bachelors/Masters Degree in Computer Science/Engineering

Job Overview Senior Architect - Data Engineering in Pharmaceuticals with 9-13 years of experience. Lead design and implementation of data engineering solutions using JavaScript, HTML, CSS, and SAP. Develop technical documentation and reports for business analysis and Salesforce integration. Drive ERP and CRM system adoption and optimization for seamless data flow. Collaborate with multinational stakeholders to fulfill diverse customer requirements. Mentor junior team members in data engineering best practices. Stay updated on industry trends and technologies. Good to have experience in agile methodologies, SQL proficiency, Oracle knowledge, and industry expertise in ERP applications. Bachelor of Technology in Computer Science Engineering or Master of Computer Applications required. Preferred certifications in Salesforce Certified Administrator and SAP Application Associate in SAP S/4HANA Business Process Integration. Roles & Responsibilities Lead the design and implementation of data engineering solutions, leveraging expertise in JavaScript, HTML, CSS, and SAP for enterprise applications. Develop technical documentation and reports to support business analysis and salesforce integration. Drive the adoption and optimization of enterprise resource planning (ERP) and CRM systems, ensuring seamless data flow and user experience. Collaborate with multinational stakeholders to understand and fulfill diverse customer business requirements. Utilize agile and scrum methodologies to enhance data processes and SQL optimization. Mentor and guide junior team members in data engineering best practices. Stay updated on industry trends and technologies, particularly in digital adoption platforms like Whatfix. Demonstrate expertise in SQL and procedural SQL for efficient data management. Lead the implementation of Whatfix products, aligning with customer success and account management goals. Adapt to dynamic environments and diverse cultures to enhance project delivery and customer satisfaction. Apply knowledge of applications such as Salesforce, MS Dynamics, and Oracle to enhance data engineering solutions in various industries like IT/ITES, Healthcare, BFSI, Manufacturing, FMCG, and Oil and Gas sectors. Our ideal candidate The ideal candidate for the position at NOVARTIS PHARMA AG should possess a robust skill set to excel in this role. With 9-13 years of experience, the primary skills required include: Deep understanding of JavaScript, HTML, CSS Technical writing SAP Business analysis Salesforce Enterprise Resource Planning (ERP) software Customer Relationship Management (CRM) Business Relationship Management (BRM) Proficiency in JavaScript is essential for developing interactive web applications. HTML and CSS expertise is crucial for designing and styling web pages effectively. Technical writing skills are necessary for creating clear and concise documentation. Knowledge of SAP is vital for integrating business processes and data within the organization. Expertise in business analysis is required for evaluating processes and recommending improvements. Proficiency in Salesforce enables effective customer management and personalized interactions. Familiarity with ERP software is essential for streamlined business operations. Understanding CRM systems is crucial for managing customer relationships. Knowledge of BRM is necessary for aligning business objectives with IT solutions. Additionally, the candidate must prioritize honing their skills in JavaScript, HTML, CSS, technical writing, SAP, business analysis, Salesforce, ERP software, CRM, and BRM to excel in this role. As for education requirements, candidates should hold a Bachelor of Technology (B.Tech) in Computer Science Engineering or a Master of Computer Applications (MCA). Certification in Salesforce as a Certified Administrator and SAP as an Application Associate in SAP S/4HANA Business Process Integration is preferred for this role. Company overview Altimetrik delivers outcomes for our clients by rapidly enabling digital business & culture and infuse speed and agility into enterprise technology and connected solutions. We are practitioners of end-to-end business and technology transformation. We tap into an organization s technology, people, and assets to fuel fast, meaningful results for global enterprise customers across financial services, payments, retail, automotive, healthcare, manufacturing, and other industries. Founded in 2012 and with offices across the globe, Altimetrik makes industries, leaders and Fortune 500 companies more agile, empowered and successful.Altimetrik helps get companies get unstuck . We re a technology company that lives organizations a process and context to solve problems in unconventional ways. We re a catalyst for organization s talent and technology, helping teams push boundaries and challenge traditional approaches. We make delivery more bold, efficient, collaborative and even more enjoyable. Qualification : Bachelor of Technology in Computer Science Engineering or Master of Computer Applications required.

About NetApp NetApp is the intelligent data infrastructure company, turning a world of disruption into opportunity for every customer. No matter the data type, workload or environment, we help our customers identify and realize new business possibilities. And it all starts with our people. If this sounds like something you want to be part of, NetApp is the place for you. You can help bring new ideas to life, approaching each challenge with fresh eyes. We embrace diversity and openness because it's in our DNA. Of course, you won't be doing it alone. At NetApp, we're all about asking for help when we need it, collaborating with others, and partnering across the organization - and beyond. "At NetApp, we fully embrace and advance a diverse, inclusive global workforce with a culture of belonging that leverages the backgrounds and perspectives of all employees, customers, partners, and communities to foster a higher performing organization." - George Kurian, CEO Job Summary We are looking for a Software Engineer to join our Performance Engineering Infrastructure team. We work on developing tools and automation frameworks that make ONTAP the most performant storage operating system. As an engineer on our team, you will work as part of a dynamic, innovative, and fun team responsible for developing frameworks that help build performance models and performance benchmarks to measure, analyze, visualize, and improve ONTAP performance. You will work on developing new and/or enhancing existing tools focused on performance aspects of the ONTAP software stack. This is a great opportunity to solve challenging, complex problems with immediate applications in a high-growth sector of the tech industry. If you like creative problem-solving, are willing to constantly learn new technologies, and have a getting things done attitude, you may be just the person we re looking for! Job Requirements Proficient in Python and Python-based web frameworks. Knowledge of other scripting languages like Perl, Shell, and Expect is a plus. Experience in building/supporting automation frameworks (generally Python-based) and tools to measure and improve performance of complex software stacks. Demonstrated ability to learn new software stacks and be able to quickly prototype ideas. Experience with GenAI, AI/ML frameworks, and tools such as TensorFlow, PyTorch, LangChain, etc. will be a very strong advantage. Experience in big data technologies like Spark, Hadoop, and distributed storage systems for handling large-scale datasets will be a plus. Basic understanding of orchestration frameworks like Kubernetes and containerization technologies like Docker will be a plus. Knowledge of data storage systems and file systems will be a plus. Ability and willingness to adapt to a rapidly changing work environment and willingness to take on additional tasks and responsibilities. Education 5 or more years of related experience. A Bachelor of Science degree in Computer Science Engineering, a Master s Degree, or a PhD. At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process. Equal Opportunity Employer NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, and any protected classification. Statistics show women apply to jobs only when they're 100% qualified. But no one is 100% qualified. We encourage you to shift the trend and apply anyway! We look forward to hearing from you. We are all about helping customers turn challenges into business opportunities. It starts with bringing new thinking to age-old problems, like how to use data most effectively to run better - but also to innovate. We tailor our approach to the customer's unique needs with a combination of fresh thinking and proven approaches. We enable a healthy work-life balance. Our volunteer time off program is best in class, offering employees 40 hours of paid time off each year to volunteer with their favorite organizations. We provide comprehensive benefits, including health care, life and accident plans, emotional support resources for you and your family, legal services, and financial savings programs to help you plan for your future. We support professional and personal growth through educational assistance and provide access to various discounts and perks to enhance your overall quality of life. Qualification : A Bachelor of Science degree in Computer Science Engineering, a Masters Degree, or a PhD.

About Boomi and What Makes Us Special Are you ready to work on world-changing technologies? Today, organizations need to move with increased agility and insight to grow and thrive. Boomi is one of the hottest tech companies in the SaaS/Cloud industry, named a leader for eight years in a row in the Gartner Enterprise iPaaS Magic Quadrant, and recently recognized by Inc. Magazine as one of the best workplaces. Our award-winning, patented technology is transforming the world of integration by making enterprise-class integration technology accessible and affordable to companies of all sizes. Boomi provides the foundation on which businesses can evolve and innovate. We help organizations connect everything and engage everywhere across any channel, device, or platform. More than 18,000 organizations are using Boomi to run better, faster, and smarter. Working at Boomi means doing what you love. We hire trailblazers with an entrepreneurial spirit who can solve challenging problems, make a real impact in technology, and want to build something big. If you are passionate about solving hard problems, enjoy working with world-class people, and developing cutting-edge technology, we want to talk to you. Software Principal Engineer Our Engineering team ensures that our next-generation software meets customer needs, is competitive and is of the highest quality. Our Engineers understand the definition of done, the expected quality, and ensures that our software meets or exceeds end-user requirements. We spend substantial time learning new technologies and softwares to come out with robust Solutions and scalable Designs that solve our Customer pain points and cater to their Business needs. Our Software Development procedures and practices comply with industry standards. Join us as a Software Principal Engineer on our Engineering team in Bengaluru to do the best work of your career and make a profound social impact. What you ll achieve As a Software Principal Engineer, you will be responsible for Building various Connectors that incorporate Scalable design and programming Best Practices. As a Principal Engineer, you will be responsible for making sure the developed Connector meets Business Goals and quality expectations. Additionally, you will mentor junior team members, help them grow themselves and be technically competative. You will work with product management, other engineering teams, customer success and support on testing new product features and enhancements across various areas of Boomi offerings. You will: Be a key member of an Agile team, collaboratively realizing features through the software development lifecycle Collaboratively build features through the Agile software development lifecycle Guide and participate in design, development, unit testing, code review, and deployment of Boomi products and services including enhancements and/or resolution of any issues that may be reported Investigate and resolve complex customer issues Work independently with a minimal level of guidance from technical leadership Mentor other Boomi engineers, including design collaboration and code reviews Research, validate, and recommend technology decisions for new features Collaborate with Product managers/owners and other cross functional teams like Architecture, PSR, Quality, Security etc. Every Boomi team member brings something unique to the table. Here s what we are looking for with this role: Essential Requirements Ability to learn new technologies, softwares, tools, languages with minimal training and on-the-job experience 5+ years of experience in architecting and implementing APIs and integration technologies in distributed enterprise environments using a combination of technologies, languages or standards like REST, SOAP, JSON, Python, Java etc. Experience with Java, Advanced Java, source control systems, continuous integration tools Experience with agile collaboration tools, such as JIRA and Confluence Experience with Web Services technologies including REST, SOAP, and WSDL Strong computer science fundamentals: data structures, algorithms, design patterns. Own Tech Debt/Tech Modernization - Ability to balance the long-term "big picture" and short- term implications of design decisions. Having proficiency Java, Microservices, Cloud Native Architecture Hands on experience in Microservices, RESTful web services Desirable Requirements 12-14 years of experience in software development Bachelors or Masters degree in CSE Well-versed with Core Java and Advanced Java Good understanding of OOPS Concepts, SOLID principles and Design Patterns Experience using Message brokers such as Service Bus, AWS SQS, AWS SNS, Kinesis, and Kafka is an added advantage Experience designing well-defined Restful APIs, API documentation tools like openAPI, testing tools like Postman and SOAPUI is an added advantage Experience using Devops tools like Bamboo, Jenkins, Harness and other CI/CD tools Familiarity with highly scalable, high throughput web applications and backend systems Familiarity using Cloud Services such as AWS, Azure At Boomi we show up for each other with empathy, compassion, and purpose because, at Boomi, we win as one that s why we strive to integrate more diverse voices for a stronger and smarter team. Qualification : Bachelors or Masters degree in CSE