AWS Data Engineer

Key Responsibilities
Develop and maintain ETL pipelines using AWS Glue, PySpark, and Step Functions.
Work with Data Lakes to ensure efficient data storage and retrieval.
Perform data mapping and understand Payer Data Elements for accurate integration.
Collaborate on integrated reporting solutions and support Power BI dashboards.

Must-Have Skills
6–8 years of experience in data engineering and data integration.
Strong proficiency in Python and PySpark.
Hands-on experience with AWS Glue, Step Functions, and ETL processes.
Knowledge of Data Lake architecture and Integrated Reporting.
Familiarity with Power BI.
Healthcare Payer domain expertise is essential.