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Data Engineer ID89384

AgileEngine·Mumbai

Pay not stated5–9 yrsFull-time

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About the role

We are looking for a Data Engineer with strong Databricks and GCP experience to develop scalable ETL/ELT pipelines and productionize agentic workflows for data engineering automation. The mandatory requirements are 5+ years of experience with Databricks and PySpark, advanced SQL, hands-on GCP experience, and experience with Delta Lake and modern lakehouse architectures.

What you'll do

  • Design, develop, and optimize scalable ETL/ELT data pipelines using Databricks, PySpark, and SQL
  • Build and operationalize agentic workflows to automate data engineering and operational processes such as data validation, issue identification, troubleshooting
  • Integrate agentic capabilities with existing Databricks, GCP, BigQuery, and Delta Lake environments
  • Develop data pipelines and reusable frameworks and components to support new business requirements and datasets across multiple use cases
  • Implement data quality checks, monitoring, validation, exception handling, and production controls

What you need

  • 5–9 yrs of experience
  • SQL
  • ETL
  • Databricks
  • Spark
  • BigQuery
  • GCP
  • Any graduate

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