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Builds and operates AWS data pipelines for Tata Consultancy Services in Dombivli, India: developing ETL workflows, processing real-time streams with Kinesis, and orchestrating data movement with Lambda or Spark on EMR. Also manages S3 data lakes, RDS/DynamoDB databases, and Redshift data warehouses.
Senior backend engineer (8+ years, hybrid in Bangalore) designing and owning production-grade Java 11+/Spring Boot microservices, event-driven systems on Apache Kafka, and REST APIs managed via API Gateway, deployed on AWS (DynamoDB, EKS, SQS, Lambda, S3).
A 3-month contract Lead Data Engineer role based in Bangalore, India, focused on designing, building, and optimizing ETL/ELT pipelines for corporate banking and credit risk data using Azure Data Factory, Databricks, Spark, Python, SQL, and the Hadoop/Cloudera ecosystem.
Contract front-end developer (6–12+ months, 100% remote for a Minnesota client) building and improving React + TypeScript applications, including maintaining long-lived codebases and writing automated tests. Work hours are 3PM–12AM or 4PM–1AM IST to overlap US hours.
A principal-level architect who owns Stolt-Nielsen's Cloud & DevOps strategy, defining Azure target-state architecture, landing zones, governance and standards. Day to day: driving Infrastructure as Code (Bicep/Terraform), CI/CD, observability/SRE, cloud security and FinOps, while mentoring teams and partnering with engineering managers.
Tata Consultancy Services is running a face-to-face hiring drive in Chennai for GCP Data Engineers with 5-10 years of experience. Day to day, the role involves designing and optimizing scalable data pipelines on Google Cloud using BigQuery, Python, SQL/ETL, Dataflow, Airflow, and Kafka.
The Data Engineering Lead (BI Analytics & DWH) designs scalable BI and data warehouse solutions, builds ETL pipelines and data models, and develops interactive Power BI/Tableau dashboards. Core stack includes SQL Server/SSIS, Python, Azure Databricks, and cloud warehouses, while mentoring junior BI developers.
Senior data & integration engineer with 7+ years of experience building scalable data pipelines, ETL/ELT workflows, and API integrations. Day to day, they develop optimized SQL, integrate data from REST/Microsoft Graph APIs, and deliver cloud data solutions on Azure or AWS to support AI, automation, and enterprise data initiatives.
Lead Pine Labs' data engineering function in Noida (office-based, 5 days/week): build and scale real-time pipelines with Kafka/MSK, Debezium and Apache Pinot, run data lakes on S3 with Iceberg, Glue and Athena, and ship Java/Python data tooling on AWS (ECS/EKS, Terraform) while mentoring engineers.
TCS is hiring an Azure Data Engineer in Chennai to design, build, and optimize scalable data pipelines and ETL/ELT workflows using Azure Data Factory, Databricks, Synapse, ADLS, and SQL, with transformation work in PySpark, Python, and Spark. Requires 5+ years of experience; interview is face-to-face.
Senior (7–8+ yrs) data engineer role in Bangalore acting as an Azure Databricks subject-matter expert: building ETL/ELT pipelines with PySpark, Python, SQL and Scala on Delta Lake/Medallion architecture, using ADLS Gen2, Azure Data Factory, Databricks Workflows/DLT/Structured Streaming, Unity Catalog, and Azure DevOps CI/CD.
A senior data engineering lead who directs a team building data pipelines, transformations, and data models using SQL, Databricks, PySpark, Snowflake, Microsoft Fabric, Informatica, Azure Data Services, and AWS, plus SAP BDC/Datasphere/Analytics Cloud. Focus areas include data governance, reusable data products, and supporting AI/ML and analytics needs.
Senior Data Engineer at UsefulBI designing and maintaining large-scale data pipeline architecture and ETL infrastructure for analytics on very large datasets. Core stack: Python, PySpark, Databricks, SQL, and AWS/Azure cloud platforms, with statistical/ML work using R and SAS.
Senior Azure Data Engineer (6+ years) in Chennai who designs, builds, and maintains scalable ETL/ELT data pipelines and large-scale data processing on Azure, working day to day with Python, PySpark, Azure Databricks, and Snowflake, with emphasis on performance tuning, data quality, and governance.
Full-time Data Engineer role in Bangalore with 3-4 years of experience building ETL/ELT data pipelines on Azure Databricks. Day-to-day work involves PySpark, Python, SQL, Delta Lake (Medallion Architecture), ADLS Gen2, Azure SQL, ADF, and CI/CD via Azure DevOps.
Data Engineer on Chargebee's Data Platform team, building and maintaining scalable data pipelines covering ingestion, distributed processing, transformation, and serving for internal analytics and customer-facing data features. Core stack: Apache Spark, Kafka, SQL, Java/Python/Scala, relational databases, and AWS.
TCS is running a walk-in drive in Chennai (Siruseri) for Azure Data Engineers with 5–12 years of experience. The role focuses on building and optimizing big-data pipelines using Azure Data Factory, Databricks, Synapse/Data Lake, SQL, Airflow and Azure DevOps, with a related track for Azure Infrastructure/DevOps engineers.
Lead Data Engineer at Experion Technologies in Kerala, India, designing and maintaining scalable ETL/ELT pipelines on the Azure data platform. Day-to-day work centers on Azure Data Factory, advanced T-SQL and SQL Server development/administration, performance tuning, and production support within Agile teams.
ADM (a global nutrition company) is hiring a Senior Data Engineer in Bangalore to build and optimize large-scale data pipelines on Azure Databricks. Day-to-day work centers on Python/PySpark, Databricks Workflows and Asset Bundles, GitHub Actions CI/CD, and designing data warehouse/data mart solutions.
Senior Data Engineer who builds and productionizes AWS data pipelines, AI agents, and Python backend services from design through deployment. Core stack: Python, PySpark, AWS Glue, S3, Athena, Step Functions, and Amazon Bedrock for LLM/GenAI agent development.
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