Senior Azure Data Engineer / Healthcare Data Engineer

Key Requirements: 10+ years of overall Data Engineering experience, including designing and building enterprise-scale data solutions. Must have Healthcare domain experience, with strong exposure to clinical data and clinical business processes. Hands-on experience with Databricks for data engineering, transformation, and large-scale data processing. Strong experience with Snowflake, including data warehousing, data modeling, and data integration. Strong experience building ETL/ELT pipelines and working with large, complex datasets. Proficiency in SQL and Python/PySpark. Experience working with cloud-based data platforms and modern data engineering architectures.

Must-Have: Skills Healthcare / Claims domain experience 10+ years of Data Engineering experience DatabricksSnowflakeAzure