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Senior Data Engineer designing and building cloud-native data platforms (Snowflake, Databricks, BigQuery, etc.) with ELT/ETL pipelines, CI/CD, and AI-ready infrastructure for a financial consulting firm serving private equity portfolio companies.
Design, develop, and optimize big data ETL pipelines using Apache Spark and Databricks on Azure cloud, while collaborating with analysts and implementing CI/CD and security best practices.
AWS Data Engineer at TCS responsible for designing, building, and optimizing scalable data pipelines and analytics solutions on AWS using services like Glue, S3, EMR, Redshift, Databricks, and PySpark.
Data Engineer building and scaling enterprise-grade data pipelines and streaming architectures using Scala, Apache Spark, SQL, Apache Kafka, and cloud platforms (GCP/AWS/Azure).
Senior Databricks Data Engineer responsible for migrating enterprise data platform from Informatica to Azure Databricks, developing data pipelines using PySpark and SQL, and implementing Delta Lake architecture with Medallion principles.
Design, build, and support scalable data pipelines and integration solutions using Azure Databricks, Spark/PySpark, and Delta Lake for a major bank's analytics, reporting, and risk management needs.
Senior Data Engineer primarily remote, building scalable PySpark/Databricks pipelines, integrating datasets into a Lakehouse, and implementing governance via Unity Catalog — with occasional onsite weeks in Bengaluru.
Data Engineer owning and extending a Databricks Lakehouse (medallion pipelines, Unity Catalog) that powers AI agent products for higher education clients, using Spark/PySpark, Python, SQL, and AWS.
Lead Data Engineer designing and developing scalable batch and streaming data pipelines using Apache Spark, PySpark, and Databricks, with data modeling and integration responsibilities to support BI and analytics tools.
Senior Data Engineer leading BI Analytics & DWH initiatives—designing ETL/ELT pipelines, data models, and scalable data platforms using Snowflake, Databricks, Azure Data Factory, and Python, while mentoring engineers and partnering with BI teams.
Build and maintain scalable cloud data platforms using Azure and Databricks, developing ETL/ELT pipelines with SQL and Python/PySpark in a senior individual contributor role.
Databricks-focused Data Engineer/Solution Architect embedded in client teams to architect, build, and optimize enterprise Databricks Lakehouse platforms using Medallion Architecture, Spark, Delta Live Tables, Unity Catalog, and CI/CD pipelines across multiple concurrent engagements.
Senior Data Engineer leading the re-engineering and validation of an existing Azure Synapse enterprise data platform and driving its migration to Databricks, focused on reverse-engineering complex pipelines, ensuring data governance, and implementing lakehouse architectures.
Senior Data Engineer building scalable GCP data pipelines end-to-end—from design through production support—using BigQuery, Python, SQL, Cloud Composer/Airflow, Dataflow/Apache Beam, and Dataform/dbt.
Senior/Lead Data Engineer building and optimizing scalable data platforms and pipelines using Databricks, PySpark, Delta Lake, and AWS/Azure Cloud.
Data Engineer building and optimizing scalable data pipelines and architectures on Azure using Databricks, PySpark, Delta Lake, and CI/CD/DataOps practices.
Lead a team of 8-10 data engineers while spending 30-50% of time hands-on building ETL/ELT pipelines using PySpark, SQL, and Azure cloud, working with enterprise data sources like SAP.
Senior Data Engineer owning data pipelines end to end on a Microsoft Fabric Lakehouse platform, building batch/incremental PySpark pipelines, dimensional models, and Power BI semantic layers with a strong emphasis on data quality and operational excellence.
Senior Data Engineer building production Databricks Lakehouse platforms with PySpark, dbt, PostgreSQL, and CI/CD pipelines at Publicis Global Delivery in India.
Build and maintain scalable data pipelines using Spark, Scala, Airflow, and Azure Databricks in a hybrid role based in Bengaluru. Work with modern data lakehouse technologies, containerization, and CI/CD practices.
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