About
Design and maintain scalable data pipelines to ingest and enrich healthcare data using Databricks and Spark Improve data intake processes and optimize SparkSQL/Python workloads for performance, scalability, and cost efficiency Partner with senior engineers to develop data marts and semantic models that power analytics products and reporting
Required Qualifications
Bachelor's degree in Computer Science, Engineering, Information Systems, or related field; or equivalent practical experience Proficiency in SQL and experience with at least one scripting/programming language (Python preferred) Understanding of relational databases, data pipelines, and data engineering best practices Strong curiosity and ownership mindset Ability to communicate effectively within technical teams
Languages
- English
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