Talend BIG Data Jobs in Bengaluru

Data Engineering Lead Bengaluru | Engineering | Full-Time About Fam (formerly FamPay) Fam is India s first payments app designed for everyone aged 11 and above. FamApp enables seamless online and offline payments through UPI and FamCard. Our mission is to empower over **250 million young Indians** to start their financial journey early, becoming financially aware and confident. Founded in 2019 by IIT Roorkee alumni, Fam is backed by top-tier investors including Elevation Capital, Y-Combinator, Peak XV (Sequoia Capital India), Venture Highway, and angels like Kunal Shah and Amrish Rao. About the Role We re looking for a visionary **Data Engineering Lead** to take **end-to-end ownership** of Fam s data ecosystem from data ingestion and storage to processing and delivering actionable insights. You ll **define the data strategy and architecture** that supports both batch and **real-time** use cases, ensuring scalability, reliability, and governance across the organization. You will be instrumental in enabling accurate, complete, and trusted data flow that powers business intelligence, analytics, and product decision-making. This role involves **leadership, strategic thinking**, and hands-on problem solving. What You ll Do Own the full data lifecycle: ingestion, organization, storage, processing, and presentation. Define and execute **data architecture and strategy** aligned with operational and analytical goals. Build **scalable, reliable, and observable data systems** supporting batch and near real-time processing. Ensure **data quality, governance, and compliance**, proactively resolving discrepancies. Collaborate with product, engineering, and business teams to define, track, and optimize key metrics. Anticipate data-related challenges and implement preventive solutions. Lead, mentor, and grow the data engineering team, fostering innovation and accountability. Must-Haves 10+ years experience in data engineering, including proven leadership of teams or projects. Expertise designing, building, and scaling end-to-end data pipelines and systems. Deep understanding of the data lifecycle, from ingestion through business reporting. Strong communication skills and ability to collaborate across technical and business teams. Solid knowledge of **data governance, quality assurance, and compliance standards**. Experience with observability and proactive monitoring for data systems. Proficiency in Python and SQL; familiarity with Scala or Java. Hands-on experience with streaming and batch data frameworks. Experience designing large-scale data lakes and warehouses with best practices for schema evolution and partitioning. Strong background with **cloud platforms (AWS, GCP, or Azure)**. Fintech or regulated industry experience is a plus. Good to Have Fintech-specific data experience, including regulatory compliance and reporting. Deployment experience with **real-time analytics** and event-driven architectures. Familiarity with containerization and infrastructure tools like Docker, Kubernetes, Terraform. Knowledge of data observability tools (Monte Carlo, Databand, etc.). Exposure to **ML pipelines** and model deployment. Solve challenging problems at the intersection of big data, real-time processing, and fintech. Lead impactful data initiatives at a rapidly growing startup. Collaborate with a world-class team of engineers, data scientists, and product leaders. Competitive compensation, equity, and benefits. Clear career growth opportunities in leadership and innovation. Perks That Go Beyond the Paycheck Relocation assistance for a smooth move. Free office meals (lunch & dinner). Generous leave policies (birthday, period, parental support, and more). Salary advances and loan policies for financial support. Quarterly rewards, recognition, and referral incentives. Access to the latest gadgets and tools. Comprehensive health insurance with mental health support. Tax benefits like food coupons, phone allowances, and leasing options. Retirement benefits including PF contribution, leave encashment, and gratuity. About FamApp FamApp focuses on financial inclusion for the next generation by offering UPI and card payments to users aged 11+. Our flagship product, FamX, integrates UPI and card payments seamlessly, helping users manage, save, and learn about their finances effortlessly. With over **10 million users**, FamApp is revolutionizing how young Indians transact eliminating the need to carry cash and offering customizable FamX cards with personal doodles for a fun, unique payment experience. Join Our Dynamic Team At Fam, we foster a people-first culture with flexible work schedules, generous leave, comprehensive health benefits, and mental health support. You ll be part of a passionate, talented, and fun team shaping the future of fintech for India s youth.

Software Development Manager Experience: 8+ Years Location: Bangalore Company: Kaleidofin About Us Kaleidofin is a mission-driven fintech platform committed to delivering financial solutions for underserved communities. Our proprietary ki credit platform combines advanced credit health analytics, middleware integration, risk dashboards, and debt capital structuring empowering financial institutions to serve low-income customers, informal sector businesses, and MSMEs more effectively. Operating across India, Bangladesh, and Kenya, we ve already impacted over 6 million customers, enabling over $3 billion in debt capital for underserved communities. Backed by global investors including the Gates Foundation, Omidyar Network, and Blume Ventures, Kaleidofin is recognized as a leader in inclusive finance. Featured on Forbes Asia's "100 to Watch" Winner of RBI s Swanari TechSprint 2023 Winner of G20 TechSprint 2024 by BIS Certified as a Great Place to Work Role Overview As a Software Development Manager, you will play a key leadership role in shaping the technical roadmap and executing high-impact fintech products. You ll lead a team of engineers to build scalable, secure, and robust systems. This is a hands-on leadership role requiring active involvement in design, architecture, and code-level decisions. What You ll Do Own the product s engineering roadmap, architecture, scalability, and code quality. Guide system design decisions and lead architecture/code reviews. Collaborate closely with Product and Business teams to align on product strategy and feature development. Provide hands-on technical leadership especially in solving complex problems in fintech and lending domains. Mentor and develop engineering talent; foster a culture of ownership, innovation, and quality. Champion engineering best practices including test automation, CI/CD, and DevOps. Lead the adoption of data-driven practices including Big Data, PySpark, and data pipeline architectures. Balance short-term deliverables with long-term technical sustainability and scalability. Support team growth through career development, learning plans, and succession planning. 8+ years of software development experience, with 1 2+ years in people/team management roles. Strong fundamentals in computer science, system design, and problem-solving. Bachelor's or Master's degree in CS or related field from a top engineering institution (IITs, NITs, etc.). Proven experience building distributed, scalable, and secure systems. Strong hands-on experience with Python, Java, Spring Boot, and microservice architectures. Proficient in SQL/NoSQL, Kafka, CI/CD pipelines, and DevOps tools (Docker, Kubernetes, Jenkins, etc.). Familiarity with AI/ML model integration and credit scoring systems is a strong plus. Experience with data engineering: Big Data, Spark, Airflow, AWS stack (S3, Glue, Athena), etc. Knowledge of front-end and mobile (Android) development is a plus. Experience working in fintech, lending tech, or high-growth startup environments preferred. Excellent leadership, communication, and cross-functional collaboration skills. Be part of a high-impact team driving financial inclusion at scale. Work on cutting-edge technology in fintech and data infrastructure. Grow with a company that s winning global recognition and delivering real-world impact. Contribute to a people-first culture that values learning, innovation, and work-life balance. Qualification : Bachelor's or Master's degree in CS or related field from a top engineering institution

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).

Job Title: Staff Machine Learning Engineer Location: Bengaluru, Karnataka, India Job Type: Full-Time (Hybrid Work Model) Experience Level: 6-10+ Years About Eightfold.ai: At Eightfold.ai, we re revolutionizing the way organizations find, manage, and empower talent. As a leader in AI-driven HR tech, our groundbreaking platform is transforming industries by using artificial intelligence to solve talent management challenges at scale. We are looking for exceptional engineers to join our team and be at the forefront of innovation in the field of AI. About the AI/ML Team: The AI/ML team at Eightfold is passionate about building cutting-edge solutions and pushing the boundaries of applied machine learning. We work with massive datasets and tackle complex, real-world challenges to develop state-of-the-art AI models. Our models are transforming how companies approach talent management, and we are looking for a Staff Machine Learning Engineer to help lead this journey. What You Will Do: As a Staff Machine Learning Engineer, you will play a critical role in leading and inspiring our ML team while architecting and implementing scalable, robust ML pipelines for our core products. Lead and Inspire: Mentor and guide a team of talented ML engineers, fostering a collaborative environment that encourages innovation. Architect and Implement: Design and build scalable ML pipelines that power Eightfold s core products. Innovate and Optimize: Develop novel algorithms and continuously enhance the performance, accuracy, and scalability of our models. Solve Complex Problems: Work on challenging real-world problems, including NLP, recommendation systems, and predictive analytics. Stay Ahead of the Curve: Research and implement cutting-edge techniques in deep learning, reinforcement learning, and other emerging fields. LLM & NLP Expertise: Design and implement scalable solutions using Large Language Models (LLMs), fine-tuning them for specific NLP tasks, and developing LLM-powered applications. What You Bring: Required Skills & Experience: Deep Expertise in ML & AI: Strong foundation in Machine Learning, Deep Learning, and Natural Language Processing (NLP) with a proven track record of developing and deploying ML models at scale. Technical Leadership: Experience leading and mentoring teams, with excellent communication and collaboration skills. Problem-Solving Mindset: Ability to analyze complex problems and develop innovative solutions. Passion for AI: Genuine enthusiasm for pushing the boundaries of AI and its real-world applications. Advanced Skills in Python & ML Frameworks: Proficiency in Python and relevant ML frameworks (TensorFlow, PyTorch), along with experience in big data technologies like Hadoop and Spark. CS Fundamentals & Coding: Strong foundation in computer science fundamentals and coding languages (Python, C/C++, Java, Scala, R). GenAI & LLM Expertise: Experience in developing and deploying LLM-powered applications, with knowledge of LLM fine-tuning techniques, optimization strategies, and ethical considerations. Nice to Haves: 6-10+ years of experience in Machine Learning and AI. MS or PhD in Computer Science or related field. Publications in top-tier AI conferences. Contributions to open-source ML projects. Familiarity with Generative AI (GenAI), Transformers, and LLMs. Impactful Work: Play a pivotal role in shaping the future of AI and its applications in talent management. Innovative Environment: Work on cutting-edge projects with world-class experts in the field of AI/ML. Career Growth: Accelerate your career in a dynamic, fast-paced environment with abundant opportunities for professional growth. Hybrid Work Model: Embrace a flexible work environment with the ability to collaborate remotely and in-person at our Bengaluru or Noida offices twice a week starting February 1, 2024. Competitive Benefits: Comprehensive family medical, vision, and dental coverage, a competitive base salary, equity awards, and discretionary bonuses or commissions. How to Apply: If you're a passionate AI/ML engineer ready to take on challenging problems and make a meaningful impact, we d love to hear from you. Join Eightfold.ai and help shape the future of AI-powered talent intelligence! Qualification : MS or PhD in Computer Science or a related field

Data Scientist with GenAI | Bengaluru, India About Wipro Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a global IT services and consulting company with over 230,000 employees in 65+ countries. We provide transformative digital solutions across consulting, engineering, and cloud. Job Overview We are seeking a skilled Data Scientist with Generative AI expertise to lead the development of AI/ML solutions using advanced technologies like LLMs, LangChain, and AWS. You will architect and implement end-to-end GenAI pipelines for enterprise-grade applications. Key Responsibilities Design and implement AI/ML solutions using Python and AWS. Develop GenAI systems using LLMs, LangChain, and RAG pipelines. Fine-tune AI models to optimize performance and accuracy. Create custom solutions when off-the-shelf tools don t meet requirements. Build SQL-based data pipelines extracting from Snowflake for model training. Integrate NLP capabilities into AI architecture to process textual data. Ensure responsible AI practices including security, fairness, and transparency. Lead and mentor team members, upholding coding and design standards. Communicate progress, risks, and strategies to stakeholders clearly. Mandatory Skills Python GenAI, LLMs AWS Cloud Services Preferred Skills NLP, AI/ML LangChain, RAG SQL, Snowflake Model fine-tuning and custom architecture development Join Wipro and be part of a global digital transformation journey. We empower talent to lead innovation and embrace reinvention. Applications from people with disabilities are explicitly encouraged.

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

Position: Talend Data Engineer Location: Bangalore, India Employment Type: Full-time Experience Required: 4 to 9 years Purpose of the Position: As a Talend Data Engineer, you will be responsible for designing, developing, and managing scalable ETL/ELT data pipelines both on-premise and in the cloud. You will work with technologies such as Talend Suite, Snowflake, and reporting tools to support high-impact data integration and business intelligence initiatives. Key Responsibilities: ETL/ELT Development: Design, develop, and deploy ETL/ELT workflows using Talend Data Integration and Talend Cloud. Data Transformation: Apply stored procedures for accurate and structured data processing. Reporting: Build reports using MicroStrategy and Power BI to support decision-making. Documentation: Maintain detailed documentation for pipelines, configurations, and processes to ensure data integrity and quality. Performance Monitoring: Monitor and optimize data pipelines, resolving data-related issues swiftly. Essential Skills: Hands-on experience with Talend Suite (Talend Data Integration, Talend Cloud). Strong skills in Snowflake and writing Stored Procedures. Expertise in ETL/ELT processes, data warehousing, and data modeling. Familiarity with data quality frameworks and job scheduling tools. Proficient in handling data formats like JSON, XML, CSV, and Parquet. Knowledge of Agile methodologies and tools such as JIRA. Desirable Skills: Experience with BI tools like MicroStrategy and Power BI. Proficiency in scripting languages such as Python, Java, or Shell scripting. Familiarity with cloud platforms (AWS, Google Cloud, Azure) and cloud-based data services. Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, or related field. 6+ years of relevant experience with Talend and data engineering projects. Key Qualities: Strong consulting, writing, and presentation skills. Self-organized and collaborative in cross-functional teams. Open to feedback and iterative improvement. Effective communicator with clients across geographies. Analytical mindset with a research-oriented approach. Apply now and become part of a high-performing team delivering scalable data solutions across industries! Qualification : Bachelor's or Master's degree in Computer Science, Engineering, or related field.

Research Engineer Location: Bangalore, Karnataka, India Job Type: Full-Time Experience Level: 0-8 years Company: IBM Research India (IRL) Introduction: IBM Research is the innovation engine of IBM and is the largest industrial research organization in the world. With 12 labs across 6 continents and over 3200 researchers globally, we produce more patents daily than any other organization. At IBM Research India (IRL), we are shaping the future of computing in areas like AI, Hybrid Cloud, and Quantum Computing. Our work is at the forefront of breakthrough innovations in Foundation Models, AI systems, large-scale data engineering, and more. We are looking for top talent to join us in our exciting and dynamic projects, pushing the boundaries of innovation. As a Research Engineer, you will work on pioneering research and development in the most cutting-edge fields of AI and computing. Role Overview: The Research Engineer role at IBM India Research Lab (IRL) involves working on challenging, dynamic, and highly innovative projects in the fields of AI, machine learning, and data systems. Your responsibilities will span multiple areas including optimizing AI models for large-scale distributed systems, pre-training foundation models, and developing real-world use cases that leverage IBM s infrastructure and models. Key Responsibilities: Optimized Runtime Stacks for Foundation Models: Work on fine-tuning, inference serving, and large-scale data engineering for AI models. Focus on multi-stage tuning, reinforcement learning, inference-time compute, and preparing data for complex AI systems. Model Optimization Across Accelerators: Develop solutions to optimize models for multi-accelerator environments, particularly focusing on IBM s AIU accelerator. Work on compiler optimizations, specialized kernels, libraries, and tools to enhance model performance. Pre-training and Deployment of Foundation Models: Participate in pre-training language models and multi-modal foundation models. Work on distributed training procedures, model alignment, and creating pipelines for various tasks, including LLM-generated data pipelines. Research and Use Case Development: Develop and implement use cases that effectively leverage infrastructure and models to drive real-world value. Contribute to creating frameworks for human-data collection and deploying models on user-centric platforms. Required Education and Experience: Education: A Master s degree in Computer Science, AI, or related fields from a top institution. Experience: 0-8 years of experience working with modern ML techniques, including but not limited to model architectures, data processing, fine-tuning techniques, reinforcement learning, distributed training, and inference optimizations. Technical Skills: Experience with big data platforms such as Ray and Spark. Experience with Pytorch FSDP and HuggingFace libraries. Proficiency in programming with Python or web development technologies. Mindset and Attitude: A growth mindset and pragmatic approach to problem-solving. Preferred Experience: Research Experience: Peer-reviewed research at top machine learning or systems conferences. Advanced Technical Skills: Experience working with pytorch.compile, CUDA, Triton kernels, GPU scheduling, and memory management. Open Source Contributions: Experience working within open-source communities, contributing to or developing open-source projects. Innovative Environment: Be at the forefront of technological innovation, working on cutting-edge projects in AI, quantum computing, and more. Global Impact: Work on projects that influence both academic research and commercial product development, making a global impact. Career Development: IBM offers abundant opportunities for learning and growth, with access to the latest technologies and research. Collaborative Culture: Work with a diverse team of world-class researchers and engineers in a collaborative, open-source-driven environment. Apply today and become a part of the team that s redefining innovation. Qualification : A Masters degree in Computer Science, AI, or related fields from a top institution.

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

Company Culture and Values: Emphasis on Diversity and Inclusion: Bain & Company prioritizes diversity, inclusion, and collaboration as key factors for building high-performing teams. They believe that fostering a diverse and inclusive environment contributes to the creation of exceptional teams and innovative solutions. Recognition as a Top Workplace: Consistently recognized as a top workplace, Bain & Company is featured on the Glassdoor Best Place to Work list and has maintained a strong position in various workplace rankings since its inception. Focus on Employee Development: The company creates an environment where employees can reach their full potential, both professionally and personally. Bain supports growth through learning opportunities, career advancement, and a focus on personal well-being. Social Responsibility: Bain & Company invests significantly in pro bono services, reflecting its commitment to addressing critical social and environmental challenges globally. The company believes in making a positive impact through expertise and resources. Role: Technical Leader, AIS COE Team Leadership: The role entails building and leading a team of over 40 engineers specializing in software product development within the AIS COE in Bengaluru. As a Technical Leader, you will foster a culture of excellence, collaboration, and innovation, ensuring the team is highly effective and motivated. AI Solution Development: The Technical Leader will oversee the entire lifecycle of AI solutions, from Proof of Concept (PoC) and Minimum Viable Product (MVP) stages to large-scale production deployment. The leader will guide the team in creating reusable model assets and solution accelerators that provide value to clients. Stakeholder Engagement: Collaboration with Bain partners and clients is critical. The role requires promoting the COE s capabilities, understanding client needs, and tailoring solutions to meet those needs. The Technical Leader will occasionally engage directly with clients to solve complex problems and provide strategic guidance. Engineering Excellence: The leader will ensure the delivery of high-quality solutions by maintaining rigorous engineering standards. They will leverage diverse technologies to meet client needs while keeping a sharp focus on performance, scalability, and reliability. Operational Oversight: The Technical Leader will work closely with the operations leader to manage the COE s operations and delivery schedules, ensuring the team meets deadlines and delivers high-impact solutions. Location: Bengaluru, India, with some presence in New Delhi. The role may require some travel for client engagements or operational needs. Qualifications: Education: Advanced degree in Computer Science, Engineering, or a related field. Experience: 12+ years of experience in software engineering, with at least 5+ years of managing engineering teams. Experience in setting up or managing an engineering hub is a significant advantage. Technical Skills: Expertise in computer science principles, software design, and development workflows. Proficiency in programming languages such as Python, Java, or C++. Experience with cloud platforms (AWS, Azure, Google Cloud) and modern software methodologies (e.g., Agile, DevOps). Other Skills: Proven ability in building and scaling engineering teams. Strong leadership skills with a focus on inspiring and guiding teams. Ability to engage with stakeholders, articulate technical solutions, and build trust. Commitment to mentoring and nurturing talent in the engineering field. Excellent collaboration skills and the ability to work with global teams across diverse functions. Key Highlights: Reusable Model Assets & Solution Accelerators: Emphasis on building scalable, reusable assets that can be leveraged across projects, improving efficiency and impact. Agile Delivery Pods & End-to-End Ownership: The team works in agile pods that focus on full ownership of projects, ensuring quality solutions and close collaboration. Growing Team & Innovative Environment: The role offers an opportunity to lead a growing team in a dynamic, innovative environment with ample opportunities for growth and professional development. Remote and Collaborative Work: The team works primarily remotely, allowing for flexibility while focusing on delivering robust solutions with minimal direct client interaction. This role provides an exciting opportunity to lead a talented and dynamic team, contribute to impactful AI and software solutions, and work at the forefront of cutting-edge technology. Qualification : Advanced degree in Computer Science, Engineering, or a related field.

About Adobe: At Adobe, we re dedicated to changing the world through digital experiences. We empower everyone from emerging artists to global brands with the tools they need to design and deliver exceptional digital experiences. We are passionate about enabling people to create beautiful, powerful images, videos, and apps, while transforming how companies engage with their customers across every screen. Our mission is to hire the best talent and foster an environment where everyone is respected and has access to equal opportunities. We believe that new ideas can come from anyone within the organization, and the next big idea could be yours! Role Overview: As part of the APAC Marketing team, you will play a senior role in driving the India DME Digital Marketing Strategy for Adobe s Creative Cloud and Document Cloud. With your expertise in B2C digital marketing, you ll lead the development, execution, and optimization of strategies that will help achieve business goals for these key products in the Indian market. You will be a data-driven marketer with a deep understanding of the India market, able to craft breakthrough marketing campaigns that inspire, drive product adoption, and build long-term customer value. As a customer-focused leader, you ll thrive in a fast-paced, matrixed organization and work closely with cross-functional teams to execute your vision. What You ll Do: Drive India Marketing Strategies: Develop and implement strategies that drive awareness, engagement, and conversion for Adobe Creative Cloud and Acrobat portfolios in the Indian market. Lead Full-Funnel Marketing Programs: Collaborate with cross-functional teams including Media, PR & Social, Lifecycle Marketing, and Adobe.com to deliver integrated marketing campaigns aligned with business goals. Champion Innovation and Creativity: Leverage audience insights and marketing analytics to continuously innovate and refine campaigns that achieve business targets and key performance indicators (KPIs). Cross-Functional Collaboration: Work closely with Product Marketing and Go-to-Market teams to ensure alignment on annual strategies and business goals. Project Management: Lead campaign launches, manage creative agencies, and coordinate with teams across the business to communicate timelines and deliverables effectively. Forecasting and Budget Management: Plan and manage the budget for marketing programs, ensuring performance is tracked and aligned with defined metrics. Business and Marketing Reviews: Play a key role in quarterly reviews, presenting the marketing narrative for India and influencing the Executive team on strategic adjustments and trade-offs. Data-Driven Insights: Use data analytics and market insights to identify opportunities for growth and optimization, continually improving the customer journey. What We re Looking For: Proven Success: A track record of delivering significant business growth through successful marketing programs. Experience: 10+ years of B2C digital marketing experience, particularly within software or technology brands, and a deep understanding of the Indian market. Analytical Skills: Strong ability to make data-driven decisions and optimize marketing strategies based on key insights. Clear Communication: Excellent communication skills with the ability to convey ideas clearly and effectively to diverse stakeholders. Strategic Thinking: Strong critical thinking abilities, with experience translating market insights into actionable strategies focused on achieving business outcomes. Campaign Management: Expertise in running full-funnel campaigns that include digital, social media, influencer marketing, and localizing global campaigns for the Indian market. Agency Collaboration: Experience working with agencies to create compelling messaging and solutions that resonate with audiences. Customer-Focused: A deep understanding of customer needs and motivations to build exceptional marketing experiences and customer journeys. Creativity & Commercial Acumen: The ability to balance creativity with a strong commercial understanding. Project Management Skills: Excellent ability to manage multiple projects in a fast-paced environment with a keen attention to detail. Influence in a Matrix Organization: Ability to navigate and influence within a matrix organization and at all levels of the company. Education: Relevant bachelor s degree required. Product Knowledge: Familiarity with Adobe products is highly desirable. Language Skills: Proficiency in spoken and written English is required; additional languages spoken in India are a plus. At Adobe, you ll be part of an exceptional team and workplace that is recognized globally for its positive environment and culture. We are committed to fostering an atmosphere where everyone has the opportunity to grow and contribute. With our unique Check-In approach to feedback, we support each other s development and success. Adobe is an Equal Employment Opportunity and Affirmative Action Employer. We do not discriminate based on gender, race, ethnicity, national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other characteristics protected by law.

About Adobe At Adobe, we're changing the world through digital experiences. From emerging artists to global brands, we provide the tools needed to design and deliver exceptional digital experiences. We're passionate about empowering people to create beautiful, powerful images, videos, and apps that transform how companies engage with customers across every screen. We're on a mission to hire the very best talent, fostering an inclusive culture where everyone is respected and has access to equal opportunities. We believe great ideas can come from anywhere, and the next big idea could be yours! The Opportunity The Customer Success Solution Architect plays a key role in helping brands maximize the value of their customer experience management (CXM) transformation by leveraging Adobe's solutions to deliver personalized, impactful experiences across all channels. In this role, you will work with customers who are struggling to fully utilize or realize the value of their Adobe Digital Experience (DX) solutions. Your expertise will guide them in operationalizing teams, solving complex challenges, and advising on strategies and technology to support their CXM transformation. What You ll Do Strategize and Architect Solutions: Collaborate with customers to understand their business requirements and translate them into a North Star architecture, recommending Adobe solutions to enhance their digital experiences. Solve Customer Challenges: Dive deep into architecture and advise on strategies that help customers unlock the full potential of their Adobe investment, addressing issues in customer experience management. Customer & Internal Collaboration: Maintain strong governance, communication, and organizational change, both with the customer and internally, working closely with the Ultimate Success Organization, Sales teams, and other customer-facing teams. Cross-Team Collaboration: Provide regular feedback and work with Product Management, Engineering, Product Marketing, and Service Marketing to ensure customer needs are addressed. Innovation: Identify opportunities across multiple customers and create new solutions that can be implemented at scale, helping to build out standard processes for future success. What You Need To Succeed Experience: 10+ years of relevant experience in enterprise architecture advisory, particularly in Adobe Digital Experience solutions. Expertise in Adobe DX Solutions: Deep knowledge of Adobe solutions such as AEM, Campaign, AEP, and related apps like CDP, CJA, or AJO, with a focus on integration and implementation to realize value. Problem-Solving: A creative and innovative mindset to solve complex technical problems and make impactful decisions that drive customer success. Communication Skills: Ability to explain complex ideas clearly, both verbally and in writing, to customers and internal teams. Customer-Centric Focus: A track record of building strong relationships with customers, leading change, and driving impactful technical solutions. Integration Knowledge: Familiarity with enterprise application integration (EAI) concepts, APIs, microservices, middleware, and AI/ML concepts to drive effective communication between customer applications. Ad Tech Experience: Experience with ad technology platforms such as DMPs, DSPs, Ad servers, and Cross-Device Tracking systems. Data Architecture Knowledge: Familiarity with CRM systems, email platforms, data lakes, data warehousing, and big data architectures to support optimal data management. Emotional Intelligence: Strong interpersonal skills and the ability to lead with emotional intelligence, building trust and rapport with customers and internal stakeholders. Adobe is proud to be an Equal Employment Opportunity and Affirmative Action Employer. We do not discriminate based on gender, race, ethnicity, national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other protected characteristic.

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

Role: Senior Delivery Leader / Practice Head Experience: 12 to 15 years Education: B.E / B.Tech / M.Tech in Computer Science, Information Technology, or equivalent Key Responsibilities: Project Leadership: Lead and successfully deliver new and complex projects. Directly oversee project delivery, ensuring adherence to scope, timelines, and quality. Conduct regular project reviews to assess progress, risks, and client satisfaction. Technology Practice Leadership: Build and scale a technology practice, driving innovation and digital capability development. Lead technical initiatives and build cutting-edge solutions that create value for customers. Drive automation in project delivery and create reusable IPs. Client Relationship Management: Act as a trusted advisor to client CIOs and senior stakeholders. Manage relationships across the pre-sales and post-sales lifecycle to drive client success. Manage and deliver superior value to key accounts, ensuring client satisfaction and retention. Thought Leadership & Innovation: Identify emerging industry needs and proactively design exceptional solutions. Bring innovative ideas to the table, identifying opportunities others may miss. Author whitepapers, present at conferences, and publish technical blogs to strengthen HashedIn s brand. People Leadership & Capability Building: Coach and mentor teams, providing clear direction and ownership. Develop the architecture and technology skills of the team, fostering a high-performance culture. Help define career paths and actively support team members' growth and progression. Desired Profile: Education & Experience: Engineering graduate (CS/IT) B.E/B.Tech/M.Tech. 12-15 years of hands-on experience in Java/JEE technologies such as Struts, JSF, Spring, EJB, JMS. Key Technical Skills: Java/J2EE expertise with a strong focus on performance engineering. Solid understanding of end-to-end technical architecture for large-scale systems. Experience reviewing existing architectures and identifying risks, trade-offs, and optimizations. Architectural and Cloud Expertise: Knowledge of infrastructure sizing, capacity planning, performance modeling, and cloud computing (AWS/Azure/GCP). Performance optimization experience across popular application servers like WebLogic, WebSphere, JBoss, with deep expertise in at least one. Technical Documentation & Tools: Skilled in creating/reviewing technical documents like Architecture Blueprints, Design Specs, Deployment Architecture, and Workload Models. Experience with performance testing tools such as Apache JMeter, HP LoadRunner, or MS VSTS Load Test. Broader Technology Exposure: Exposure to Agile methodologies and CI/CD tools. Experience with Big Data/Analytics platforms like Apache Kafka, Storm, Hadoop, or libraries like Libuv (Node.js). Leadership & Business Acumen: Proven track record in building technology teams from the ground up. Strong pre-sales experience, with a key role in winning new business alongside the sales team. Consultative mindset, with the ability to understand complex enterprise environments and propose tailored solutions. Effective in working within a multicultural environment and managing diverse teams. Strong communication, presentation, and interpersonal skills. High energy, with the ability to thrive under pressure and navigate ambiguity. Industry Awareness: Up-to-date with latest technology trends and evolving industry challenges. Demonstrated ability to handle complex, multicultural projects in dynamic environments. Strong professional and personal integrity, with the assertiveness to present clear points of view.

Job Title: Sr. Engineering Manager - Data Engineering Level: L5 Experience: 13-16 years Overview We are seeking an experienced Engineering Manager with a strong background in Data Engineering, including ETL/ELT processes and cloud-based data platforms such as Snowflake. The ideal candidate will lead and mentor a team of data engineers, drive data architecture initiatives, and work closely with cross-functional stakeholders to ensure our data infrastructure supports evolving business needs. Key Responsibilities Team Leadership: Lead, mentor, and develop a high-performing data engineering team, fostering a culture of collaboration, innovation, and continuous learning. Data Pipeline Development: Oversee the design, development, and maintenance of robust ETL/ELT pipelines to ingest, transform, and process data at scale. Cloud Data Infrastructure: Drive the architecture and implementation of cloud-based data solutions, especially leveraging Snowflake, ensuring scalability, security, and reliability. Cross-Functional Collaboration: Partner with product managers, analysts, data scientists, and other business stakeholders to gather requirements and prioritize engineering efforts that deliver the most impact. Architecture and Design: Develop and enforce data architecture standards for high-performance data warehousing, ensuring seamless data integration across diverse sources. Performance Optimization: Identify and resolve performance bottlenecks, focusing on query optimization, cost management, and resource efficiency. Data Quality & Governance: Define and implement data quality frameworks and governance practices, ensuring data consistency and reliability across all pipelines. Innovation & Strategy: Stay informed on emerging data technologies and industry best practices, continuously improving processes and aligning solutions with long-term data strategies. Required Skills 8+ years of hands-on experience in data engineering, including 5+ years in a leadership role. Strong expertise in ETL/ELT processes and hands-on experience with tools like Talend, Informatica, or similar platforms. Deep proficiency in Snowflake or comparable cloud data platforms such as Redshift or BigQuery. Advanced SQL skills, including query optimization, performance tuning, data modeling, and schema design. Hands-on experience with Python or Java for data processing and automation. Knowledge of data governance, compliance standards, and data security best practices. Excellent communication and project management skills, with the ability to prioritize and manage multiple projects in parallel. Preferred Skills Exposure to Big Data technologies such as Spark, Hadoop, Databricks, Synapse, etc. Experience with workflow orchestration tools like Apache Airflow or AWS Step Functions. Familiarity with CI/CD pipelines and DevOps practices within data engineering. Experience working with BI tools like Tableau or Power BI, and reporting integrations.

Job Title: Senior Cloud Data Engineer Experience: 10+ Years Location: Bengaluru About Capgemini Invent: Capgemini Invent is the digital innovation, consulting, and transformation brand of the Capgemini Group. It brings together leading expertise in strategy, technology, data science, and creative design to help CxOs reimagine their businesses. We are a global business line dedicated to helping organizations envision and build what s next. Your Role: As a Senior Cloud Data Engineer at Capgemini Invent, you will design, develop, and maintain scalable data pipelines using advanced cloud technologies to ensure smooth data integration and efficient workflows. You will collaborate with cross-functional teams to deliver robust and optimized data solutions while ensuring compliance and security throughout the process. Key Responsibilities: Design, develop, and maintain scalable data pipelines using AWS services. Optimize data storage and retrieval processes to ensure efficiency and accessibility. Ensure data security and compliance with industry standards, including data privacy laws. Manage large volumes of data, focusing on accuracy, integrity, and secure accessibility. Develop and refine data processes for data modeling, mining, and production. Implement quality checks, data validation, and monitoring of data flows. Collaborate with data scientists, analysts, and IT teams to meet data requirements. Work closely with data architects and modelers on project objectives and solutions. Troubleshoot and resolve issues in data pipelines, ensuring performance tuning and optimization. Develop and implement disaster recovery procedures to safeguard data. Ensure seamless integration of HR and other business data into cloud-based environments. Research new opportunities for data acquisition and discover additional uses for existing data. Stay up-to-date with the latest cloud technologies, data management practices, and trends, including Generative AI. Recommend and implement improvements to enhance data reliability, efficiency, and quality. Your Profile: 10+ years of experience in cloud data engineering. Proficiency with cloud platforms such as AWS, Azure, or Google Cloud. Experience with data pipeline tools like Apache Spark, AWS Glue, or similar technologies. Strong programming skills in Python, SQL, Java, or Scala. Familiarity with Snowflake, Informatica, or similar tools is an advantage. In-depth knowledge of data privacy laws, security best practices, and data governance. Expertise in analyzing and interpreting complex datasets to derive actionable insights. Strong communication, collaboration, and problem-solving skills. Knowledge of database technologies, including SQL, Big Data, and Cloud-based systems. Passion for learning and keeping up with emerging technologies, particularly in Generative AI. Experience working in an Agile framework and managing multiple projects simultaneously. Ability to adapt to evolving priorities and business needs. What You Will Love About Working Here: Flexibility: Enjoy flexible work arrangements such as remote work or flexible hours, ensuring a healthy work-life balance. Career Growth: We offer numerous opportunities for career advancement and personal development, helping you explore diverse paths and expand your skills. Certifications & Learning: Gain valuable certifications in cutting-edge technologies, including Generative AI, to stay ahead of the curve. About Capgemini: Capgemini is a global business and technology transformation partner that helps organizations accelerate their dual transition to a digital and sustainable world. With a team of 340,000 professionals in over 50 countries, we are dedicated to making a tangible impact on enterprises and society. Trusted by clients for over 55 years, Capgemini uses its deep industry expertise and cutting-edge technologies such as AI, cloud, and data to unlock the full potential of businesses worldwide. In 2023, the group reported global revenues of 22.5 billion.