Pipeline Design Jobs in Bengaluru

Analytics Engineer Location: Bengaluru Work Type: Full-Time About Postman Postman is the world s leading API platform, used by over 40 million developers and 500,000 organizations, including 98% of the Fortune 500. Our mission is to build an API-first world, simplifying every step of the API lifecycle and enabling teams to create better APIs, faster. Founded in Bengaluru, Postman is headquartered in San Francisco, with offices in Boston, New York, and Bengaluru. We are privately held, backed by Battery Ventures, BOND, Coatue, CRV, Insight Partners, and Nexus Venture Partners. The Opportunity We are seeking an Analytics Engineer to join our Data Team and help strengthen the foundation of our modern data stack. In this role, you will own critical transformation pipelines, design scalable data models, and ensure that our analytics environment is performant, reliable, and future-ready. You will operate with a high degree of independence, driving projects from design through production, while implementing best practices in dbt, semantic layers, medallion architecture, and lakehouse paradigms. Key Responsibilities Take ownership of large portions of our dbt project (3k+ models), ensuring scalability, maintainability, and adherence to best practices. Design and implement robust data models, including dimensional modeling, incremental strategies, and Slowly Changing Dimensions (SCDs). Establish and enforce dbt test coverage, automated quality checks, and CI/CD pipeline standards using GitHub Actions. Profile and optimize SQL queries and warehouse performance for efficiency and cost reduction. Build and refine our semantic layer, ensuring consistent business logic across Looker, Redash, and downstream tools. Collaborate with analysts and business partners to define metrics and deliver self-serve data assets. Document models, lineage, and transformation logic to make data discoverable and usable across the company. Contribute to shaping team standards and playbooks, collaborating with analysts on modeling and transformation best practices. Stay ahead of modern data stack innovations, including dbt metrics layer, universal semantic layers, data contracts, and observability. Enabling Self-Serve Analytics & AI Build transformations that empower business stakeholders and analysts to explore data confidently. Ensure metric definitions are consistent, discoverable, and reusable across BI tools. Prepare clean, structured, and accessible datasets for AI-driven initiatives like conversational analytics and anomaly detection. Partner with Data Science & ML teams to provide reliable pipelines that accelerate experimentation and AI/ML deployment. About You 3 5 years of experience in analytics engineering roles. Advanced SQL skills (query optimization, performance tuning). Strong proficiency in dbt Core: models, macros, snapshots, sources, and custom materializations. Solid background in data modeling techniques (Kimball, SCD handling, incremental pipelines). Practical experience with semantic layers and BI integration (LookML, dbt metrics, or equivalent). Familiarity with Medallion architecture and modern lakehouse approaches. Hands-on experience with Redshift; exposure to Databricks is a plus. Proficiency with GitHub and CI/CD pipelines for analytics code. Strong fundamentals in data quality, governance, and lineage tracking. Flexible schedule with a hybrid work model. Full medical coverage, flexible PTO, wellness reimbursement, and monthly lunch stipend. Access to wellness programs, team-building events, and donation-matching initiatives. An inclusive, collaborative culture where everyone can thrive and grow. Our Values Curiosity: Explore and innovate fearlessly. Transparency: Communicate openly about successes and failures. Focus: Set clear goals aligned with a bold vision. Inclusion: Every voice matters. Excellence: Deliver the best products and experiences together.

Enterprise Sales Manager Location: Bengaluru Type: Full-Time About Intugine Every product you use from your favorite snack to complex electronic gadgets takes a complex journey across the global supply chain. Yet, many leading brands still struggle with visibility, efficiency, and control across this journey. At Intugine, we solve these challenges with our cutting-edge supply chain visibility platform. Our multimodal solution (land, air, sea, rail) empowers over 75 global enterprises including GE Healthcare, Flipkart, Titan, Mahindra Logistics, and Ultratech Cement to streamline operations, reduce logistics costs, and improve on-time deliveries. As a proud partner of India s National Logistics Policy, we also leverage deep integrations with systems like FASTag, Port Community System, and FOIS to deliver unmatched intelligence and transparency. Role Overview As an **Enterprise Sales Manager**, you ll be at the forefront of driving Intugine s growth. You ll own the complete sales cycle from identifying prospects and designing tailored solutions to closing deals with high-value enterprise clients. We're looking for a strategic, consultative seller with a strong understanding of B2B SaaS and supply chain dynamics. Key Responsibilities Target & Qualify Prospects: Identify high-potential sectors and decision-makers across enterprise accounts. Solution Selling: Deeply understand client operations to design and present custom-fit solutions. Pipeline Management: Use CRM tools to manage opportunities, forecast accurately, and maintain pipeline hygiene. Collaborate Cross-Functionally: Work with marketing, product, and customer success to align go-to-market efforts. Negotiate & Close Deals: Engage stakeholders across levels to successfully close high-impact deals. Relationship Building: Build and nurture long-term relationships with CXOs and key influencers. Deliver on Targets: Consistently meet and exceed revenue goals across regions and customer segments. Market Intelligence: Stay ahead of trends to better position our solutions in a competitive landscape. Requirements Proven experience closing complex enterprise deals, ideally in a SaaS or logistics tech environment. 1+ years in B2B sales with a strong understanding of supply chain operations. Structured sales approach with exceptional communication and consultative selling skills. Comfortable working in a fast-paced, high-growth startup environment. Highly self-motivated, with a relentless focus on results and relationship building. At Intugine, we don t just offer a job we offer growth, ownership, and the opportunity to shape the future of supply chain technology. Perks include: Employee Stock Options Be a part-owner in our journey Comprehensive Health Coverage Personal Development Budget & Education Assistance Flexible Working Hours & Work Autonomy Generous Parental Leave Open-Door Culture & Equal Pay Policy Paid Time Off & Company Outings Life Skills Training From tax saving to wellness

Position: DevOps Engineer-2 Location: Bengaluru Employment Type: Full-Time Department: Engineering Job Description: We are looking for a skilled DevOps Engineer-2 to design, implement, and maintain secure, scalable, and highly available infrastructure. You will play a key role in automating infrastructure provisioning, capacity planning, and building robust monitoring and CI/CD pipelines. Responsibilities: Design and implement secure, scalable infrastructure solutions. Automate infrastructure provisioning, demand forecasting, and capacity planning. Develop automation tools and frameworks to enhance system observability, availability, reliability, performance, and latency monitoring. Monitor system health, application performance, security controls, and cost optimization. Participate in sustainable incident response, peer reviews, and blameless postmortems. Lead the adoption and rollout of best DevOps tools and automation practices across services. Build and maintain continuous integration and continuous deployment (CI/CD) pipelines. Required Skills and Experience: Minimum 3 years of experience in DevOps and cloud technologies. Expertise in at least one major cloud platform: AWS, Azure, or GCP. Strong production experience with Kubernetes, including deployment, management, and troubleshooting. Proven ability to design scalable and resilient infrastructure architectures. Proficiency with infrastructure-as-code tools such as Terraform, Pulumi, or CloudFormation. Strong debugging and troubleshooting skills. Deep knowledge of Linux servers and networking fundamentals. Hands-on experience with scripting or programming languages like Python, Shell, Go, or Java. Familiarity with monitoring and observability tools such as DataDog, NewRelic, ELK stack, Prometheus, or Grafana. Understanding of modern cloud-native development practices including microservices architecture and RESTful APIs. Ability to thrive in a fast-paced, dynamic work environment.

Position: Technical Lead - DevOps Location: Bangalore Rural, Karnataka, India Department: Data Platform and DevOps Employment Type: Subexian Experience Required: 3 to 6 years Job Overview: We are seeking an experienced Kubernetes Administrator with a strong background in managing containerized environments. The ideal candidate will have 4+ years of hands-on experience in deploying, configuring, and optimizing Kubernetes clusters to drive scalability, reliability, and performance. This is an excellent opportunity to leverage your expertise in Kubernetes orchestration while contributing to the overall success of our platform. Key Responsibilities: Cluster Management: Deploy, configure, and manage Kubernetes clusters both on-premises and across cloud platforms such as AWS, Azure, and GCP. Security & Compliance: Implement best practices for cluster security, including role-based access control (RBAC), network policies, and data encryption at rest and in transit. Automation: Automate cluster provisioning and ongoing management using tools like Terraform, Ansible, or Helm charts, streamlining operations and reducing manual tasks by 40%. Monitoring & Performance: Continuously monitor cluster health and performance metrics using tools like Prometheus, Grafana, ensuring high availability and optimal performance. CI/CD Pipelines: Design and implement CI/CD pipelines for containerized applications using tools such as Jenkins, GitLab CI/CD, and CircleCI to enable smooth continuous delivery. Collaboration: Work closely with development teams to troubleshoot issues, optimize application performance, and ensure compatibility with Kubernetes environments. Security Audits: Conduct regular security audits to identify vulnerabilities and ensure compliance with industry standards. Documentation: Maintain clear and comprehensive documentation for deployment procedures, configuration settings, and troubleshooting guides to enhance knowledge sharing within the team. Infrastructure Management: Administer and maintain Linux/Unix servers and virtualization platforms such as VMware or KVM, ensuring seamless operations across the infrastructure. Backup & Recovery: Implement and manage robust backup and disaster recovery solutions to ensure data integrity and minimize system downtime. Technical Support: Provide expert-level technical support for server and network infrastructure-related issues. Required Skills & Qualifications: Proven experience in Kubernetes deployment, configuration, and administration. Strong command of containerization technologies, including Docker and containerd. Hands-on experience with cloud platforms such as AWS, Azure, and GCP. Proficiency in Infrastructure as Code (IAC) tools like Terraform and Ansible. Familiarity with CI/CD pipelines and automation tools like Jenkins and GitLab CI/CD. Excellent troubleshooting and problem-solving skills. Strong communication and collaboration abilities, with the capability to work effectively across cross-functional teams. If you re passionate about DevOps, Kubernetes, and driving the success of containerized environments, we d love to hear from you!

Senior Software Engineer Build & Release (5+ Years) | Bangalore Location: Bangalore Experience Required: 5+ Years Job Type: Full-time About the Role We are seeking an experienced Senior Software Engineer (Build & Release) to join our engineering team in Bangalore. In this critical role, you will lead and optimize our build automation, release management, and configuration processes, ensuring that software products are delivered efficiently, reliably, and at scale. You ll work closely with developers, QA, and operations teams to create a robust CI/CD pipeline and streamline the overall software delivery lifecycle. Key Responsibilities Design, implement, and manage automated build and deployment pipelines. Develop and maintain tools for build, packaging, and release management. Troubleshoot and resolve build failures, deployment issues, and release-related bugs. Monitor, document, and improve build performance and packaging efficiency. Create internal tools and scripts to enhance packaging and automation processes. Collaborate with cross-functional teams to integrate release pipelines into CI/CD workflows. Ensure quality assurance by performing build validations and release testing. Maintain a version-controlled repository for all configuration items across projects. Generate build reports, status dashboards, and performance metrics. Research and implement best practices in DevOps and release engineering. Required Technical Skills Strong hands-on experience with Visual Studio, TFS Source Safe, SQL Server, C#, and MSBuild. Proficiency in CruiseControl or other CI/CD tools. Knowledge of web server configurations, especially IIS. Solid foundation in build scripting, automation, and source control systems. Strong understanding of software development lifecycle (SDLC) and release methodologies. Preferred Skills Experience designing and maintaining CI/CD pipelines in a Microsoft-centric environment. Familiarity with DevOps practices, infrastructure automation, and continuous delivery. Exposure to build monitoring tools, automated test setups, and rollback mechanisms. Experience working in Agile/Scrum environments. Qualifications Bachelor s or Master s Degree in Computer Science, Information Technology, or a related field. Minimum 5 years of experience in Build & Release Engineering, with a background in software development and configuration management. Who You Are A detail-oriented engineer with a passion for automation and process improvement. A team player who believes in collaboration and cross-functional communication. A problem-solver with strong analytical and troubleshooting skills. Committed to continuous learning and growth in the field of DevOps and release management. Flexible working hours Continuous learning & development opportunities Medical and insurance benefits Supportive, growth-oriented work culture About In4Velocity Founded in 2004, In4Velocity is a leading technology provider for real estate, construction, and infrastructure companies. Our flagship product, In4Suite , is a powerful platform that digitizes real estate operations end-to-end, offering a unified solution that integrates buy-side, sell-side, and internal workflows. Used by clients across the globe, In4Suite empowers developers with actionable insights, a strong Business Intelligence engine, and seamless process management setting new benchmarks in real estate technology. Apply now and accelerate your career with In4Velocity. Qualification : Bachelors or Masters Degree in Computer Science, Information Technology, or a related field.

Sr. Software Engineer, Search Relevance (Applied AI) Location: Bengaluru, India Company: Databricks Role Overview Join Databricks Applied AI team to develop and improve ML-powered search relevance systems. You will work on enhancing search ranking, query understanding, and building evaluation frameworks to enable scalable, seamless search experiences across millions of data assets on the platform. Key Responsibilities Develop and deploy ML/NLP-based relevance models integrated with Databricks products. Design automated pipelines for data preprocessing, query understanding, ranking, retrieval, and model evaluation. Collaborate with product managers and cross-functional teams to innovate in search and discovery features. Build robust frameworks for offline and online evaluation of search ranking improvements. BS or higher (MS/PhD preferred) in Computer Science or related fields. 6+ years of experience developing large-scale search relevance systems or impactful research. Experience applying Large Language Models (LLMs) to search relevance. Expertise in one or more of: query understanding, NLP, text mining, recommendations, personalization, discovery, conversational AI. Strong computer science fundamentals. Contributions to popular open-source projects a plus. Work with cutting-edge AI models and a world-class team to shape the future of AI-driven data products. Databricks powers data intelligence for thousands of organizations globally and fosters an environment of innovation and collaboration. Qualification : BS or higher (MS/PhD preferred) in Computer Science or related fields.

DevOps Engineer Location: Bengaluru, Karnataka, India (On-Site) Department: Engineering Employment Type: Full-Time About Sarvam.ai Sarvam.ai is a cutting-edge generative AI startup headquartered in Bengaluru, India, with a mission to make generative AI accessible and impactful for Bharat. Founded by AI experts, we are dedicated to developing high-performance, cost-effective AI agents tailored for the Indian market. We enable enterprises to tap into new opportunities, build deeper customer connections, and reshape the future of AI for India and beyond. Role Overview We are looking for a DevOps Engineer to join our team and help build and manage scalable, secure, and high-performance infrastructure. In this role, you will be a key contributor to automating deployments, managing cloud infrastructure, optimizing CI/CD workflows, and ensuring system reliability. You will work with cutting-edge technologies, including cloud platforms, containerization, and infrastructure as code (IaC), to deliver impactful solutions for AI-driven products. Key Responsibilities CI/CD Pipelines: Design, implement, and manage CI/CD pipelines for seamless software deployment and integration. Cloud Infrastructure: Deploy and manage cloud infrastructure using Terraform, Kubernetes, and Docker for scalability and high performance. Automation & Scaling: Automate infrastructure provisioning, scaling, and security compliance to support high-availability environments. Monitoring & Optimization: Implement logging, monitoring, and alerting solutions using tools like Prometheus, Grafana, ELK Stack, or CloudWatch to monitor system performance and optimize resource utilization. Security & Compliance: Enhance security and compliance by managing IAM policies, encryption, and vulnerability scanning. Troubleshooting & Root Cause Analysis: Troubleshoot system failures, perform root cause analysis, and implement improvements to ensure reliability and uptime. Collaboration: Work closely with development teams to ensure smooth deployment and operation of AI models and applications. Must-Have Skills & Qualifications Educational Background: Bachelor s degree in Computer Science, Engineering, or related field (2024/2025 graduates). Cloud Expertise: Strong experience with AWS, Azure, or GCP for deploying and managing cloud-based applications. Containerization: Proficiency in Docker and Kubernetes for building and managing containerized applications. Infrastructure as Code (IaC): Experience with Terraform, Ansible, or CloudFormation to automate infrastructure management. CI/CD Pipelines: Experience in setting up automated workflows using tools like GitHub Actions, Jenkins, or GitLab CI/CD for smooth deployments. Monitoring & Logging: Experience with Prometheus, Grafana, ELK, or similar tools to implement effective monitoring and logging solutions. Networking & Security: Strong understanding of firewalls, VPNs, SSL, and cloud security best practices for secure infrastructure. Version Control: Proficiency with Git for managing code repositories and version control workflows. Problem Solving: Strong debugging, troubleshooting, and analytical skills to resolve complex system issues. Good to Have (Preferred Experience) Serverless Computing: Exposure to serverless computing models such as AWS Lambda or Azure Functions. Message Queues: Experience with message queues like Kafka, RabbitMQ, or SQS. Site Reliability Engineering (SRE): Familiarity with SRE practices to ensure the reliability and availability of large-scale systems. Open Source Contributions: Contributions to open-source projects or a strong GitHub portfolio showcasing DevOps expertise and best practices. Impactful Work: Work on AI-driven products that are reshaping the future of technology in India. Innovative Team: Collaborate with a team of AI experts and engineers pushing the boundaries of technology. Career Growth: Opportunity to grow in a fast-growing startup at the forefront of the generative AI revolution. Cutting-edge Technologies: Work with cloud technologies, automation, and AI infrastructure to create high-impact products. Qualification : Bachelors degree in Computer Science, Engineering, or related field

Machine Learning Engineer Full-Time - Bengaluru, India - Data Science / Artificial Intelligence / Engineering Join our dynamic Data Science / Artificial Intelligence / Engineering team in Bengaluru, India as a Full-Time Machine Learning Engineer and play a key role in driving data-driven innovation! We are seeking a skilled and results-oriented Machine Learning Engineer to design, build, and deploy scalable machine learning models that address real-world business challenges. You will collaborate closely with data scientists, engineers, and product managers to transform raw data into actionable insights and integrate intelligent features into our products. As a Machine Learning Engineer, you will be responsible for the complete lifecycle of machine learning models and pipelines, from design and development to seamless deployment for a variety of applications. This includes classification, regression, clustering, recommendation systems, and time-series forecasting. You will leverage your expertise to preprocess and analyze large and complex datasets, extracting meaningful features and valuable insights. Collaboration with cross-functional teams will be crucial as you identify strategic ML opportunities and define clear success metrics. A key aspect of this role involves optimizing machine learning models for peak performance, scalability, and accuracy within production environments. You will build robust APIs or efficient microservices to integrate these models seamlessly into our applications, utilizing tools such as Flask or FastAPI. Continuous improvement is paramount, and you will be responsible for the ongoing monitoring and retraining of models based on their performance and any signs of data drift. Staying at the forefront of the field is essential, and you will be expected to stay updated with the latest ML research and emerging technologies, applying them to continuously enhance our product capabilities. Key Responsibilities: Design, develop, and deploy machine learning models and pipelines for diverse applications including classification, regression, clustering, recommendation, and time-series forecasting. Preprocess and analyze large datasets to extract meaningful features and actionable insights. Collaborate effectively with cross-functional teams to identify strategic ML opportunities and define clear success metrics. Optimize models for maximum performance, scalability, and accuracy in production environments. Build robust APIs or efficient microservices to integrate ML models into applications using tools like Flask or FastAPI. Continuously monitor and retrain models based on performance metrics and potential data drift. Stay updated with the latest ML research and technologies and apply them to enhance product capabilities. Minimum Qualifications: Bachelor s or Master s degree in Computer Science, Data Science, Statistics, or a related field. 2+ years of proven experience as a Machine Learning Engineer or in a similar role. Strong proficiency in Python and key ML libraries such as Scikit-learn, XGBoost, TensorFlow, or PyTorch. Practical experience working with both SQL and NoSQL databases. Solid knowledge of essential data preprocessing, effective feature engineering, and robust model evaluation techniques. Familiarity with standard software engineering practices, including version control (Git), thorough code reviews, and efficient CI/CD pipelines. Preferred Qualifications: Prior experience with deep learning, natural language processing (NLP), or computer vision. Familiarity with major cloud services like AWS, GCP, or Azure (especially SageMaker, Vertex AI, etc.). Understanding of modern MLOps tools and practices (e.g., MLflow, Kubeflow, DVC). Practical experience with containerization and orchestration tools (Docker, Kubernetes). Knowledge of big data tools (e.g., Spark, Hadoop) is considered a significant plus. What We Offer: Competitive salary and performance-based incentives to reward your contributions. Comprehensive health insurance and valuable wellness benefits to support your well-being. Dedicated learning and development programs for continuous professional growth. Exciting opportunities to work on impactful, real-world AI/ML projects with significant scale. A collaborative, inclusive, and innovative work culture that fosters teamwork and creativity. Flexible working hours and a hybrid work model to promote a healthy work-life balance.

Position: Senior Data Scientist Location: Bangalore Employment Type: Full-time Experience Required: 5 to 7 years Purpose of the Position: The Senior Data Scientist will play a key role in designing, developing, and implementing machine learning models and algorithms to solve complex business problems. The role involves collaborating with data scientists, software engineers, and business stakeholders to deliver scalable, efficient machine learning solutions that drive innovation and improve business outcomes. Key Responsibilities: Model Development and Optimization: Develop, train, and optimize machine learning models to meet business objectives. Ensure models are accurate, efficient, and scalable. Data Pipeline and Infrastructure: Design and maintain robust data pipelines to support machine learning workflows. Ensure data quality and integrity throughout the data lifecycle. Deployment and Monitoring: Deploy machine learning models into production. Monitor model performance and implement improvements as needed. Collaboration and Communication: Work with cross-functional teams to understand business requirements and translate them into technical solutions. Communicate complex technical concepts to non-technical stakeholders. Research and Innovation: Stay up to date with the latest advancements in machine learning and AI. Experiment with new techniques and technologies to enhance the organization's capabilities. Essential Skills: Machine Learning Frameworks: Experience with ML frameworks such as TensorFlow, PyTorch, and Scikit-learn. Programming Languages: Strong skills in Python and R. Data Processing: Experience with tools like Pandas, NumPy, and Spark. Model Deployment: Experience with Docker, Kubernetes, MLflow, and FastAPI. Databases: Strong experience in databases like Snowflake, MongoDB, and Cosmo DB. Statistical Analysis: Strong foundation in statistics and probability. Model Management: Experience establishing model management, monitoring, support, and maintenance frameworks. ML Lifecycle: Experience setting up ML lifecycle processes and governance policies, as well as providing L0, L1, and L2 support. Desired Skills: Deep Learning: Familiarity with deep learning frameworks like TensorFlow or PyTorch. Natural Language Processing (NLP): Understanding of NLP techniques and applications. Cloud Computing: Experience with cloud platforms like AWS, Azure, or Google Cloud. Big Data Technologies: Knowledge of big data technologies such as Hive, Pig, or Cassandra. Software Engineering: Proficiency in software development and version control systems like Git. Qualifications: Education: Master's degree or Ph.D. in Computer Science, Data Science, Statistics, Mathematics, or a related field. Experience: Over 5 years of experience in machine learning, with a proven track record of developing and deploying models. Certifications: Relevant certifications in machine learning or data science are a plus. Key Qualities: Analytical Thinking: Strong analytical and problem-solving skills. Communication: Excellent verbal and written communication skills. Team Player: Ability to work effectively in a collaborative team environment. Adaptability: Flexibility to adapt to changing business needs and technologies. Innovation: A proactive approach to exploring new ideas and technologies. Apply now to join our dynamic team and lead innovation through machine learning and AI! Qualification : Master's degree or Ph.D. in Computer Science, Data Science, Statistics, Mathematics, 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.

Job/Position Summary: Data Engineer Responsibilities: Implement data pipelines that meet design and are efficient, scalable, and maintainable. Implement best practices including proper use of source control, participation in code reviews, data validation and testing. Timely deliveries while working on projects. Act as advisor/mentor and helps junior data engineers in their deliverables. Must Have Skills: Should have experience of at least 4+ years with Data Engineering. Strong experience of design, implementation and fine-tuning big data processing pipelines in production environment. Experience with big tools like Hadoop, Spark, Kafka, Hive, Databricks. Experience in programming at least one of with Python, Java, Scala, Shell Script. Experience with relational SQL and NO SQL databases like PostgresSQL, MYSQL, Cassandra etc. Experience with any data visualization tool (Plotly, Tableau, Power BI, Google Data Studio, Quick sight etc.). Good To Have Skills: Should have Basic Knowledge of CI/CD Pipeline. Experience in working on at least one Cloud (AWS or Azure or GCP). For AWS: - Experience with AWS Cloud services like EC2, S3, EMR, RDS, Athena, Glue, Lambda, EMR. For Azure: -Experience with Azure Cloud services like Azure Blob/Data Lake GEN2, Delta Lake, Databricks, Azure SQL, Azure DevOps, Azure Data Factory, Power BI. For GCP: - Experience with GCP Cloud services Big Query, Cloud Storage bucket, DataProc, Dataflow, Pub Sub, Cloud Function, Data Studio. Sound familiarity in Versioning tools (Git, SVN etc.). Experience Mentoring students is desirable. Knowledge of latest developments in Machine Learning, Deep Learning, Optimization in Automotive domain. Open minded approach to explore multiple algorithms to design optimal solution. History of contribution to articles/blogs/whitepapers etc. in Analytics. History of contribution to Open Source. Requirement: ESSENTIAL SKILLS /COMPETENCIES Data Engineering Hadoop Kafka CI/CD Cloud

Your Impact As a Data Engineer at QuantumBlack, you will collaborate with stakeholders, data scientists, and internal teams to develop and implement impactful data products and solutions. Your key responsibilities will include building and maintaining technical platforms for advanced analytics, designing scalable and reproducible data pipelines for machine learning, and ensuring information security within data environments. You will assess clients' data quality, map data fields to hypotheses, and prepare data for use in analytics models. Additionally, you will contribute to R&D projects, internal asset development, and participate in cross-functional problem-solving sessions with a variety of stakeholders, including C-level executives, to create innovative analytics solutions. You will be based in Gurugram, joining a global data engineering community, and work within cross-functional and Agile project teams alongside project managers, data scientists, machine learning engineers, other data engineers, and industry experts. You will collaborate directly with our clients, ranging from data owners and users to C-level executives. You will be aligned with one of our industry-focused practices: Pharma & Medical Products (PMP) or Global Energy & Materials (GEM). In these practices, you ll work on solving the most critical challenges for our clients in these sectors. PMP focuses on advancing the development and delivery of life-saving medicines and medical treatments, while GEM supports industries like chemicals, steel, mining, and energy to achieve operational excellence. GEMx and PMPx, the assetization arm of these practices, focus on creating reusable digital and analytics assets to support client work. As part of this team, you will help shape impactful solutions for large organizations, developing capabilities for sustained impact. Your Growth In this role, you will contribute to the frameworks and libraries that our teams of Data Scientists and Engineers use to progress from data to meaningful impact. You will have the opportunity to guide global companies through data science solutions, helping them transform and enhance performance across industries including healthcare, automotive, energy, and elite sports. Real-World Impact: You ll gain unique learning and development opportunities globally. Fusing Tech & Leadership: Work with the latest technologies and methodologies, with access to top-tier learning programs. Multidisciplinary Teamwork: Collaborate with data scientists, engineers, project managers, UX designers, and more to enhance performance. Innovative Work Culture: Creativity, passion, and wellness are central to our modern work environment, which includes insightful talks, training sessions, and a focus on work-life balance. Striving for Diversity: We celebrate diversity, with colleagues from over 40 nationalities, appreciating the value that diverse perspectives bring to the workplace. You are a highly collaborative individual who prioritizes impact over agenda. You enjoy learning from colleagues, challenging ideas thoughtfully, and working together to improve processes and solve problems. You believe in iterative change, experimenting with new approaches, and advancing quickly through constant learning and improvement. While we value using the right tech for the right task, our team often leverages technologies such as Python, PySpark, SQL, Airflow, Databricks, Kedro (our open-source data pipelining framework), Dask/RAPIDS, Docker, Kubernetes, and cloud solutions like AWS, GCP, and Azure. Your Role as a Data Engineer Collaboration: Work with business stakeholders, data scientists, and internal teams to create extraordinary, domain-focused data products (reusable assets) and deliver them to clients. Domain Expertise: Develop deep understanding of client industries and use creative techniques to deliver meaningful impact. Technical Platforms: Build and maintain technical platforms for advanced analytics engagements, spanning both data science and data engineering work. Data Pipelines: Design and implement robust, modular, scalable, deployable, and reproducible data pipelines for machine learning. Data Management: Ensure the security of data environments and compliance with information security standards. Data Wrangling: Assess data quality, map data fields to hypotheses, and prepare data for analytics models. Contribute to R&D: Participate in internal asset development and contribute to R&D projects to drive innovation. Cross-functional Problem Solving: Collaborate with internal teams and clients, including data owners and C-level executives, to create impactful analytics solutions. Your Qualifications and Skills Bachelor s degree in computer science or related field; Master's degree is a plus. 2-5 years of relevant work experience. Proficiency in at least one programming language such as Python, Scala, or Java. Strong experience with distributed processing frameworks (e.g., Spark, Hadoop, EMR) and SQL. Experience in commercial client-facing projects, particularly in close-knit teams. Ability to work with structured, semi-structured, and unstructured data, and identify linkages across disparate data sets. Clear communication skills to explain complex solutions effectively. Understanding of information security principles to ensure compliant handling of client data. Experience with cloud platforms (AWS, Azure, Google Cloud, Databricks) is highly desirable. Experience with CI/CD processes using GitHub Actions, CircleCI, or similar, and end-to-end pipeline development including application deployment is a plus. Qualification : Bachelors degree in computer science or related field; Master's degree is a plus.

Job Title: Senior Python Expert Experience: 3 to 8 years Overview of the Role: This role sets the benchmark for team software development processes and deployment procedures, while actively contributing to establishing best practices and methodologies within the team. Responsibilities: Develop backend services using Python Flask or similar web frameworks. Design and maintain data and pipeline management frameworks using open-source technologies such as Hadoop, Hive, Spark, HBase, Kafka Streaming, Tableau, Airflow, and cloud-based data engineering services like S3, Redshift, Athena, Kinesis. Design and develop efficient CRUD operations for large datasets with millions of records. Collaborate with teams to build and maintain innovative, reliable, secure, and cost-effective distributed solutions. Own and deliver complex application components within defined timelines. Ensure quality delivery using best practices in API development, performance, and scalability. Participate in customer communication, presentations, and resolution of critical issues. Contribute to architecture, feature set, and design decisions. Proactively recognize and address requirement inconsistencies and project risks. Break down work effectively and estimate accurately. Serve as a technical mentor and role model within the team. Required Skills: Strong knowledge of Python and a web framework like Flask. Experience with AWS services such as EC2, S3, Lambda, Step Functions, Glue, SNS, SQS, Secret Manager, and CodeBuild/CodePipeline. Solid understanding of SQL, including query writing, optimization, and database interaction tools. Experience with API development (RESTful services, Postman, API Gateway). Strong coding, debugging, and problem-solving skills. Understanding of architectural trade-offs and data engineering principles (data acquisition, ingestion, distributed processing, high availability). Ability to independently handle delivery of complex projects. Excellent team management and individual contributor skills. Good to Have Skills: Experience with Big Data frameworks like Hadoop and Spark. Knowledge of AWS Aurora. Familiarity with pip, setuptools, etc. Education: B.E./B.Tech, MCA, M.E./M.Tech.

CPU Performance Engineer Company Arm Location Bengaluru Job Overview At Arm, we are building the Future of Computing. Achieving generational performance gains requires deep understanding of the core, microarchitecture, system-level details, and the workloads that run on them. We are seeking a highly motivated and skilled engineer to drive analysis, characterization, and deep understanding of complex infrastructure workloads. This is a versatile and high-visibility role requiring collaboration with global teams including hardware architects, software engineers, and toolchain experts. Your work will help shape the next-generation CPU microarchitecture through comprehensive workload performance analysis. Responsibilities Perform performance analysis and characterization of complex infrastructure workloads to identify software and microarchitectural improvements for next-generation processors/systems. Analyze CPU performance, power, and cost while identifying key technology challenges and opportunities for innovation. Collaborate with Arm architects to develop technologies that contribute to maintaining a best-in-class compute systems roadmap. Develop expertise in the competitive landscape and emerging technologies in areas such as infrastructure, computer vision, and machine learning. Required Skills and Experience Strong knowledge and experience in CPU architecture and microarchitecture, gained through development, research, or performance analysis/modeling/design. Ability to break down workload performance into insights spanning software (applications, toolchain, libraries) and CPU/system microarchitecture. Proven ability to work effectively both independently and as part of geographically distributed teams across multiple functional groups. Innovative mindset with a strong drive to explore new approaches, influence stakeholders through detailed investigation, and solve challenging technical problems. Bachelor s or Master s degree in Computer Science, Engineering, or a related field, with at least 10 years of experience in CPU or SoC performance analysis. Nice-To-Have Skills and Experience Experience in CPU performance analysis and/or modeling. Background in workload analysis, characterization, and/or optimization of open-source software. Understanding of CPU infrastructure architectures and system-level constraints. Hands-on experience with advanced CPU techniques such as branch prediction and prefetching. Comfort working with emerging technologies and staying current with research advancements. Track record of influencing product roadmaps and delivering innovative solutions through prototypes and empirical analysis. What Arm Offers Arm provides an exceptional collaborative environment, offering exciting challenges and career growth opportunities. If you are interested but feel you don t meet every requirement, we encourage you to apply we value diverse skills and innovative thinking! #LI-KR2 Qualification : Bachelors or Masters degree in Computer Science, Engineering, or a related field, with at least 10 years of experience in CPU or SoC performance analysis.

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: CPU/Core Design Engineer (Intern) Job Description: Join Intel s Core and Client Development Group (C2DG) and contribute to the development of leading-edge CPU and Core technologies. In this role, you will be involved in CPU/Core design activities across various domains, supporting Intel s ongoing and next-generation Core CPUs. Key Responsibilities: Contribute to CPU/Core logic design for Intel s high-performance processors. Support pre-silicon verification, system validation, and firmware development. Assist in physical design, layout, and DFT (Design for Testability) engineering. Work with cross-functional teams to ensure high-quality and efficient CPU designs. Utilize industry-standard tools and methodologies for design and validation processes. Qualifications & Requirements: Educational Qualifications: Currently pursuing a Postgraduate Degree (M.Tech or equivalent) from a reputed institute in: Microelectronics & VLSI Digital System Design Computer Architecture Preferred Skills: Logic Design and digital circuit design fundamentals. Pre-Silicon Verification using simulation and validation techniques. Physical Design & Layout methodologies for semiconductor products. DFT (Design for Testability) Engineering. System Validation for ensuring reliability and performance. Firmware development related to CPU architecture and microarchitecture. About the Core and Client Development Group (C2DG): The Core and Client Development Group (C2DG) is a global organization responsible for the development and integration of SoCs, Core processors, and critical IPs that power Intel s flagship products. C2DG drives the client roadmap for Intel s Client Computing Group (CCG), delivers server-first cores for Data Center Group (DCG), and invests in future disruptive technologies. Intel s Commitment to Diversity & Inclusion: Intel is an equal opportunity employer, ensuring fair consideration for all applicants regardless of race, color, religion, gender, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected characteristic under local law. Intel offers a highly competitive total compensation package, including: Competitive pay, stock options, and performance-based bonuses. Comprehensive healthcare, retirement plans, and paid time off. Opportunities for professional development and career growth. Qualification : Currently pursuing a Postgraduate Degree (M.Tech or equivalent) from a reputed institute in:

Data Engineer Role Overview We are looking for a Data Engineer to design, develop, and maintain scalable data pipelines and ETL processes. You will work closely with data scientists, analysts, and engineers to ensure efficient data processing and storage solutions that support business intelligence and analytics needs. This role requires expertise in SQL, big data technologies, and cloud platforms to build and optimize data workflows. Key Responsibilities Data Pipeline Development & Optimization Design and build scalable ETL/ELT processes for structured and unstructured data. Develop and maintain data ingestion frameworks to handle large datasets efficiently. Ensure data integrity, consistency, and security across multiple sources. Database & Data Warehouse Management Develop, optimize, and maintain relational and NoSQL databases. Implement data modeling best practices for performance and scalability. Work with cloud-based data warehouses (e.g., Snowflake, Redshift, BigQuery). Big Data & Cloud Technologies Leverage big data tools (e.g., Spark, Hadoop, Databricks) for data processing. Work with cloud platforms (e.g., AWS, Azure, GCP) to build and optimize data solutions. Develop real-time and batch processing workflows. Collaboration & Documentation Work closely with data scientists, engineers, and business teams to understand data requirements. Document data pipelines, architecture, and workflows for scalability and maintenance. Required Qualifications & Skills Technical Expertise: Strong experience with SQL and Python for data processing. Proficiency in ETL/ELT frameworks and data integration techniques. Hands-on experience with big data tools (e.g., Apache Spark, Hadoop, Kafka). Cloud & Database Management: Expertise in cloud data platforms (Azure, AWS, GCP). Experience with data warehousing solutions (Snowflake, Redshift, BigQuery). Understanding of data governance, security, and compliance. Performance Optimization & Troubleshooting: Ability to optimize SQL queries and improve data processing efficiency. Experience troubleshooting complex data pipeline issues. Apply Now & Be Part of an Innovative Data Team!

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.

Summary of Essential Job Functions: Design, develop, and maintain scalable and efficient data pipelines utilizing Python, Pandas, Spark, and Dataflow. Leverage expertise in relational databases such as SQL Server and MySQL, with a comprehensive understanding of cloud platforms. Assemble and integrate large, complex data sets to meet both functional and non-functional business requirements. Analyze and integrate diverse systems and data sources through ETL processes, ensuring timely and accurate information delivery to visualization teams and business stakeholders. Optimize and troubleshoot data pipelines for enhanced performance, reliability, and scalability. Ensure the integrity and quality of data throughout the pipeline by implementing robust validation and testing strategies. Identify opportunities for process improvement, such as redesigning infrastructure to support greater scalability, improving data delivery efficiency, and automating manual processes. Collaborate with cross-functional teams to comprehend data requirements and implement solutions that align with business needs. Develop and maintain comprehensive documentation for data pipelines, including design specifications, code comments, and operational guides. Provide technical support for production issues, including troubleshooting, query optimization, and process improvements. Offer technical guidance and mentorship to junior team members, fostering best practices and encouraging continuous learning. Knowledge of analytics tools such as PowerBI, Tableau, Data Studio, and Apache Superset is a plus. Work Experience & Qualifications: 4-6 years of experience in the design and development of data pipelines and related technologies. Strong communication skills, both customer-facing and internal, with the ability to articulate complex technical concepts clearly. Bachelor s degree in Computer Science, Information Science, Data Science, or a related field. Qualification : Bachelors degree in Computer Science, Information Science, Data Science, or a related field.

Summary of Essential Job Functions: Design, develop, and maintain scalable and efficient data pipelines using Python, Pandas, Spark, and Dataflow. Strong expertise in relational databases, including SQL Server and MySQL, coupled with a deep understanding of cloud platforms. Construct and integrate large, complex data sets to fulfill both functional and non-functional business requirements. Analyze and integrate diverse systems and data sources through ETL processes and logic, ensuring timely and accurate data delivery to visualization teams and business stakeholders. Optimize and troubleshoot data pipelines to enhance performance, reliability, and scalability. Ensure data integrity and quality across the pipeline by implementing effective validation and testing strategies. Identify, design, and implement internal process improvements such as redesigning infrastructure for scalability, improving data delivery methods, and automating manual tasks. Collaborate with cross-functional teams to understand business data requirements and deliver solutions that meet organizational needs. Develop and maintain comprehensive documentation for data pipelines, including design specifications, code comments, and operational guides. Provide technical support for production issues, including troubleshooting, query optimization, and process enhancements. Offer technical guidance and mentorship to junior team members, promoting best practices and fostering continuous learning. Knowledge of data analytics tools such as PowerBI, Tableau, Data Studio, and Apache Superset is highly desirable. Work Experience & Qualifications: 8-10 years of experience in data design, development, and pipeline management. Excellent communication skills with the ability to engage effectively with both customers and internal teams. Bachelor s degree in Computer Science, Information Science, Data Science, or a related field. Qualification : Bachelors degree in Computer Science, Information Science, Data Science, or a related field.