Databricks Engineer
Diverse Lynx
Databricks Engineer
- Very strong Databricks and Healthcare experience
- Data transfer and ETL tools: Python, PySpark , Databricks, SQL, and relevant libraries for large-scale data processing
- Familiarity with networking concepts, data storage interfaces, and scoping ETL requirements
- Strong SQL proficiency (SQL "flavor" largely unimportant)
- Understanding of underlying data models and optimization strategies (partitioning, indexing, query performance)
- Ability to create and maintain ETL pipelines and workflows in Databricks; ensure source data is received on schedule and transformed data is available for Power BI and Tableau consumption
- Experience with API ingestion , including connecting to external APIs, extracting data, and testing/validating for completeness and accuracy
- Experience with Delta Sharing (Deltashare) for secure, real-time sharing of data across systems and teams
- Familiarity with AWS cloud services , including S3 for data storage and CloudWatch for monitoring ETL pipelines and workflows
- Good understanding of system Entities and Attributes, with ability to implement structural changes in the Data Model as requirements evolve
- Knowledge of data replication and Change Data Capture (CDC) processes, including tools like Qlik
Vacancy posted 5 days ago
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