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Senior Technical Lead

HCLTech·Bengaluru

Pay not stated8–14 yrsFull-time

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About the role

Polaris is seeking a highly skilled Senior Data Engineer to design, build, and optimize scalable data solutions that power analytics, reporting, AI, and ML use cases. This role requires deep expertise in data pipeline development, data quality, testing, modern data platforms, and performance optimization.

What you'll do

  • Data Engineering & Pipeline Development
  • Design, develop, and maintain scalable ETL/ELT data pipelines across batch and streaming workloads
  • Implement robust data ingestion frameworks using high watermark logic, CDC strategies, and incremental processing
  • Build and manage data pipelines with orchestration tools (e.g., Azure Data Factory, Fabric, Fivetran, etc.)
  • Ensure reliable end-to-end data movement, transformation, and integration across systems Data Quality & Reliability

What you need

  • 8–14 yrs of experience
  • SQL
  • Git
  • Python
  • Unit testing
  • ETL
  • Snowflake
  • MBA

Good to have

  • Power BI
  • CI/CD
  • Azure
  • Azure Data Factory
  • Data modelling
  • Regression testing

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