Senior Data Engineer
Indexed description
A leading organization within the Healthcare & Pharmaceutical industry is looking for a Senior Data Engineer to help build and maintain a modern cloud-based data platform supporting analytics, AI, and enterprise applications.
Key Responsibilities
- Design and develop scalable batch and streaming data pipelines.
- Build solutions using Databricks, Azure, Delta Lake, PySpark, and Spark SQL.
- Develop data ingestion, transformation, and publication pipelines.
- Support PostgreSQL and Neo4j serving layers.
- Implement CI/CD, Infrastructure as Code, data quality, governance, and observability best practices.
- Collaborate with Data Science, AI Engineering, DevOps, and Product teams.
Requirements
- Bachelor's or Master's degree in Computer Science, Data Engineering, Software Engineering, or related field.
- 5+ years of hands-on Data Engineering experience.
- Strong experience with Python, PySpark, SQL, Databricks, Delta Lake, Azure, PostgreSQL, and Neo4j.
- Experience with CI/CD, GitHub, Infrastructure as Code, and modern cloud architectures.
- Experience working in regulated environments is a plus.
- Fluent English required.
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