Description

Required Qualifications:
 

• 5+ years of relevant work experience in Data Engineering/ETL Development
• 5+ years of SQL experience with large datasets
• 2+ years’ experience with Spark, Python, or Java to build robust data pipelines
• 5+ years of progressively complex related experience.
• Experience leveraging Cloud Technologies (GCP Preferred, AWS, Azure) for ETL and data analysis
• Strong SQL and data analysis experience; data exploration, profiling, and validation.
• Strong collaboration and communication skills within and across teams.

Preferred Qualifications:
 

• Experience with API integration design and development, including authentication, data mapping, and error handling.
• Experience working with Healthcare or Health insurance data
• Understanding of data science methods and statistics

Key Skills

Education

Bachelor's degree