EY - GDS Consulting - AI And DATA - AWS Databricks - Senior

8 - 13 years

12 - 17 Lacs

Posted:Just now| Platform: Naukri logo

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Job Type

Full Time

Job Description

  • Design and implement pipelines across L1 L3 layers using Databricks and Spark.
  • Develop modular, parameterized ETL processes for large-scale scientific data integration.
  • Implement and maintain STTM mappings and transformation logic with domain BAs.
  • Build metadata-driven orchestration, logging, and observability frameworks.
  • Support performance optimization, validation, and deployment readiness across squads.
  • Collaborate with architects on cloud-native best practices and standards.

Must-Have Skills

  • 8+ years of experience in data engineering, with 3+ in life sciences or R&D settings.
  • Hands-on expertise with Spark, Databricks, Delta Lake, and Python/SQL.
  • Experience in building pipelines with STTM/SDTM alignment and scientific data quality requirements.
  • Good understanding of L1 L3 pipeline layering and governance controls.
  • Familiarity with GxP or other compliance-driven implementations.

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Professional Services

London

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