Design and develop robust data pipelines using Python, Spark, Databricks, SQL, SSIS
Implement and orchestrate ETL/ELT workflows with Apache Airflow and SSIS
Build repeatable processes for ingestion and transformation of large healthcare datasets
Integrate data from diverse sources (AWS, on-prem, vendors) into our data platform
Work with CSV, XML, Parquet, Delta formats and ensure data quality
Automate observability and monitoring across pipelines and workloads

🎯 Requirements

SQL and Python or Scala proficiency
Spark and Databricks experience
Airflow or similar orchestration tools
Data cleansing, curation, quality frameworks
Unity Catalog or metadata management familiarity
AWS cloud services and data governance awareness

🎁 Benefits

Comprehensive benefits package including medical, dental, and vision
Unlimited paid time off
401(k) plan with employer contribution

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