drjobs EY GDS Consulting AI And DATA AWS Databricks Senior

EY GDS Consulting AI And DATA AWS Databricks Senior

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1 Vacancy
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Job Location drjobs

Delhi - India

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

At EY were all in to shape your future with confidence.

Well help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go.

Join EY and help to build a better working world.

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 L1L3 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 L1L3 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.

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.

Employment Type

Full Time

Company Industry

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