AWS Engineer for Healthcare Domain -- 2
Budget: ₹20,000 – ₹23,000 INR
AWS Data Engineer – Healthcare Domain
Location: Remote
Working Time: evening
Duration:-2 hours per day
Demo Required: Today
About the Role
We are looking for a highly skilled AWS Data Engineer with solid experience in the Healthcare Payer domain. The ideal candidate will be responsible for building, optimizing, and maintaining data solutions using AWS cloud technologies and scalable data engineering best practices.
Key Responsibilities
Design, develop, and maintain ETL pipelines using AWS Glue, PySpark, and AWS Step Functions.
Work with Data Lake environments for secure and efficient data storage, processing, and retrieval.
Perform data mapping and ensure accurate handling of payer data elements.
Contribute to integrated reporting initiatives and assist in supporting Power BI dashboards.
Collaborate with cross-functional teams to align data solutions with business objectives.
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
AWS Step Functions
ETL pipeline development
Expertise in Data Lake architecture and Integrated Reporting frameworks.
Working knowledge of Power BI.
Mandatory experience in the Healthcare Payer domain.
Location: Remote
Working Time: evening
Duration:-2 hours per day
Demo Required: Today
About the Role
We are looking for a highly skilled AWS Data Engineer with solid experience in the Healthcare Payer domain. The ideal candidate will be responsible for building, optimizing, and maintaining data solutions using AWS cloud technologies and scalable data engineering best practices.
Key Responsibilities
Design, develop, and maintain ETL pipelines using AWS Glue, PySpark, and AWS Step Functions.
Work with Data Lake environments for secure and efficient data storage, processing, and retrieval.
Perform data mapping and ensure accurate handling of payer data elements.
Contribute to integrated reporting initiatives and assist in supporting Power BI dashboards.
Collaborate with cross-functional teams to align data solutions with business objectives.
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
AWS Step Functions
ETL pipeline development
Expertise in Data Lake architecture and Integrated Reporting frameworks.
Working knowledge of Power BI.
Mandatory experience in the Healthcare Payer domain.