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EY EY - GDS Consulting AI DATA Databricks Senior 
India, Telangana, Hyderabad 
9520726

26.08.2025

Data Engineer

  • Pull/ingest data from different sources, transform and stitch, and wrangle it for advanced analytics activities.
  • Design, implement, and deploy data loaders to load data into the Engineering Sandbox.
  • Leverage data best practices and tools and assist ML engineer in pulling, filtering, tagging, joining, parsing, and normalizing data sets for use.
  • Provide input to ML engineer/cloud engineer for the design and implementation of data management and/or architecture solutions.
  • Develop & deploy azure databricks in a cloud environment using Azure Cloud services
  • ETL design, development, and deployment to Cloud Service
  • Interact with Onshore, understand their business goals, contribute to the delivery of the workstreams
  • Design and optimize model codes for faster execution.

Must have:

  • 3 to 7 years of Experience in developing data ingestion, data processing and analytical pipelines for big data, relational databases, NoSQL, and data warehouse solutions
  • Extensive hands-on experience implementing data migration and data processing using Azure services: Databricks, ADLS, Azure Data Factory, Azure Functions, Synapse/DW, Azure SQL DB, etc.
  • Hands on experience in programming like python/pyspark
  • Need to have good knowledge on DWH concepts and implementation knowledge on Snowflake
  • Well versed in DevOps and CI/CD deployments
  • Must have hands on experience in SQL and procedural SQL languages.
  • Strong analytical skills and enjoys solving complex technical problems.



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