Data Engineer
Core
Design, develop, and maintain data assets and products within the Enterprise Data Lake to support Enabling Functions (HR, Finance, Law, Compliance, Procurement).
Role type
Mid-level Data Engineer (Cloud & Data Lake)
Builds
Cloud-based data pipelines, ETL workflows, and analytic-ready data solutions for enterprise functions.
Domain
Healthcare / Enterprise Data Management / Cloud Infrastructure
Required skills
Python, PySpark, SQL, AWS (Glue, Athena, Redshift, Postgres), Databricks (Lakehouse, Delta Lake, Unity Catalog), Data Pipeline Development, Data Security, Cloud Infrastructure Management
Preferred skills
Cloudera Data Platform (CDP), Databricks Workflows, Domain experience in HR/Finance/Compliance/Procurement, Onshore-offshore delivery model experience
Technologies
AWS, Databricks, Delta Lake, Unity Catalog, PySpark, SQL, Glue, Athena, Redshift, Postgres, MySQL, Cloudera
Responsibilities
Develop and maintain data pipelines for data enablement projects; Collaborate with data architects, analysts, and scientists to support data needs; Implement and maintain security protocols for sensitive data; Participate in the lifecycle of the enterprise data lake; Build end-to-end data ETL pipelines; Maintain data acquisition capabilities including Data Catalog and User Access Requests.
Seniority
Mid-level (3-5 years experience)
