Senior Data Engineer at Veeva

Shape the future of healthcare data as a Senior Data Engineer us on crafting scalable data solutions using Python and Spark on AWS while collaborating within an Agile framework.

You will oversee the complete development lifecycle, managing end-to-end ETL workflows that unify diverse data sources. Your expertise will help implement the Medallion Architecture, ensuring seamless data flows and governance standards. Collaborating with Product Managers and Data Scientists, you’ll translate complex requirements into innovative and effective solutions driving business success.

Key Responsibilities:

• Architect resilient data processing systems with Python and Spark

• Design end-to-end ETL processes from multiple data sources

• Lead the implementation of the Medallion Architecture

• Build reusable libraries for data quality and monitoring

• Enforce data governance across systems

Requirements:

• 4+ years in data engineering with production-grade platforms

• Proficient in Python and Apache Spark for large-scale workloads

• Expertise in modern data architecture and design patterns

• Experience with AWS services like EMR or Databricks

• Strong skills in CI/CD tools and processes

Maximize your impact in healthcare data solutions with Veeva’s innovative engineering team.
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