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Data Engineer - Digital Health Excellence Center - EY Consulting GmbH
Data Engineer
Data Engineer focused on building scalable data pipelines for digital health solutions, leveraging Python, SQL, AWS, and Spark to transform and model data for analytics and reporting.
About the role
Key Responsibilities
- Design, develop, and maintain robust data pipelines that ingest, transform, and store health data from diverse sources.
- Implement data modeling and schema design to support analytics, reporting, and machine learning initiatives.
- Utilize AWS services (S3, Redshift, Glue, Lambda) and Spark to build scalable, fault‑tolerant ETL workflows.
- Collaborate with data scientists, product owners, and stakeholders to understand requirements and deliver actionable insights.
- Monitor pipeline performance, troubleshoot issues, and continuously optimize for cost and speed.
Requirements
- Strong experience with Python and SQL for data manipulation and automation.
- Hands‑on knowledge of AWS data services and Spark/Databricks environments.
- Proven ability to design and implement end‑to‑end ETL processes in a production setting.
- Excellent problem‑solving skills and a collaborative mindset.
- Experience in the healthcare or digital health domain is a plus.