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Databricks Developers
1 month ago
- Develop and optimize data pipelines in Databricks for transforming and processing data from various sources.
- Integrate data using Unity Catalog and external data sources (data lakes, APIs, etc.).
- Write Spark SQL and PySpark scripts for data transformations, optimizations, and creating views/procedures.
- Perform data analysis to identify quality issues, optimize pipelines, and enhance data processing for analytics.
- Collaborate on report generation and dashboard creation with front-end teams.
- Use GitLab for version control, CI/CD automation, and task management (Jira).
Requirements
- Master's or Bachelor's degree in Data Engineering or related field.
- 3+ years experience with Databricks and advanced SQL.
- Experience with ETL processes, views, and procedures.
- Strong experience with Databricks, Spark SQL, PySpark, and SQL.
- Expertise in creating and optimizing views and stored procedures in Databricks.
- Experience building ETL workflows and data models.
- Knowledge of cloud platforms (AWS, Azure) and version control tools (Git, GitLab).
- Experience with healthcare or clinical trial data.
- Familiarity with DevOps practices.
Requirements
DevOps, ETL, Databricks, Spark SQL, Pyspark, SQL, cloud platforms (AWS, Azure)