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About
Create and maintain processes to acquire, validate, and enrich data from various sources Support the migration of on-premise data systems to a cloud-based lakehouse architecture Develop and optimize ETL/ELT pipelines using PySpark and Spark SQL
Required Qualifications
1+ years of work experience in a data engineering role Bachelor's degree or greater in a quantitative field or equivalent practical experience Hands-on experience with Databricks (Spark, PySpark, Delta Lake) and/or migrating RDBMS systems to a data lakehouse Experience with common types of healthcare data from various sources Hands-on experience with SQL and Python (including PySpark) for distributed data processing
Languages
- English
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