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

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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 Responsibilities

• 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

Nice-to-Have Skills

EY | Building a better working world

EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.

Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.

EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

Skills Required

Spark, Databricks, Sdtm, Python, Sql