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 processes, and analytic-ready data solutions for enterprise functions.
Domain
Healthcare / Enterprise Data Management / Cloud Infrastructure
Required skills
Python, PySpark, SQL, AWS (Glue, Athena, Redshift), Databricks (Delta Lake, Unity Catalog), Data Lakehouse architecture, Data Security protocols, Cloud infrastructure management.
Preferred skills
Cloudera Data Platform (CDP), 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 Data Platform.
Responsibilities
Develop and maintain end-to-end data ETL pipelines; Build and optimize scalable data pipelines on Databricks; Collaborate with data architects and scientists to support data needs; Implement and maintain security protocols for sensitive data; Manage data cataloging and user access requests; Participate in data lifecycle management for the enterprise data lake.
Seniority
Mid-level (3-5 years experience)
