Create and maintain data models (dimensional and 3NF) aligned with business requirements
Design and develop ETL pipelines that consolidate data from various source systems into a unified data platform
Develop Semantic Models and Reports / Dashboards based on business requirements
Facilitate business requirements sessions and conduct data analysis to accurately identify and specify the data needed to support impactful business objectives
Collaborate effectively with clients and team members across regions

Bachelor’s degree or equivalent experience in Math, Computer Science, Information Systems, Finance, Accounting, Economics, Health Informatics, Health Information Management, Public Health, Healthcare Administration, Biostatistics or Analytics
3+ years of experience designing data models across multiple subject areas and business domains
3+ years of experience in designing and developing business intelligence solutions
3+ years of designing and developing scalable, efficient data pipelines to ingest, transform, and load data from multiple sources into data lakes and data warehouses
Proficient in SQL
Experience with Python/Scala
Proven experience with major cloud platforms such as Microsoft Azure, AWS or GCP
Experience with data platforms like Fabric, Databricks and Snowflake
Experience with GIT, DevOps, CI/CD and Version Control
Experience with BI visualization tools such as Power BI, Qlik or Tableau

Healthcare Data Engineer

Key skills