Responsibilities
- Design and maintain reliable data transformations that convert raw medical claims into standardized formats.
- Conduct in-depth audits to identify, diagnose, and fix data quality problems affecting completeness and correctness.
- Develop and fine-tune Spark SQL queries to verify data pipeline integrity and support analytical workflows.
- Record data logic and lineage clearly to promote transparency, understanding, and reuse across teams.
- Work with business teams to understand data requirements and convert them into technical implementations.
- Assist in integrating new client data sources with minimal operational impact during onboarding.
- Collaborate with data engineering teams to develop and scale efficient, resilient data pipelines.
- Serve as a domain expert on healthcare claims, providing insights on risks, patterns, and business implications.
- Partner with data science teams to support machine learning, advanced analytics, and reporting initiatives.
- Diagnose and resolve ETL process and performance issues to enhance data system efficiency and stability.
