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

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

8 - 13 years

25 - 30 Lacs

bengaluru

Posted:3 days ago| Platform:

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Skills Required

metadata assurance orchestration spark consulting schema life sciences data quality sql python

Work Mode

Work from Office

Job Type

Full Time

Job Description

Data Engineer Life Sciences R&D (Senior Level)

Experience 8+ Years

Role Overview

As a senior Data Engineer, you will be responsible for building robust, scalable, and compliant data pipelines from raw scientific sources to integrated and consumption-ready data products in the R&D landscape. You will partner with architects, domain SMEs, and analysts to develop re-usable components supporting early discovery, development, and regulatory needs.

Key

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.

Nice-to-Have Skills

Exposure to ELNs, LIMS, compound registration systems, or bioassay platforms.
Knowledge of Unity Catalog, Matillion, or metadata-driven architecture approaches.
Experience with ingestion frameworks, schema evolution, and CI/CD for data.

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