Senior Data Engineer
2 months ago
As a Senior Data Engineer at Rubicon Path, you will be responsible for designing, developing, and maintaining large-scale data pipelines using Databricks and Python. Your expertise in ETL tools, such as Microsoft SSIS, and strong knowledge of Delta Lake for data management and optimization, will be crucial in ensuring the efficient transformation and movement of data to meet business needs.
You will work closely with data architects and business teams to implement data warehousing, data lakes, and analytics solutions using Azure Databricks, Delta Lake, and Spark. Your experience with CDC tools, such as GoldenGate, and solid understanding of the Medallion Architecture (Bronze, Silver, Gold) will be essential in managing real-time data and ensuring data quality.
The ideal candidate will have 7+ years of experience using ETL tools, 2+ years of experience with Python and PySpark, and a solid understanding of database performance optimization techniques. You will also have experience with data governance best practices, including implementing security policies, access control, and auditing with Unity Catalog.
Responsibilities:
- Design, develop, and maintain large-scale data pipelines using Databricks and Python.
- Implement data warehousing, data lakes, and analytics solutions using Azure Databricks, Delta Lake, and Spark.
- Work closely with data architects and business teams to ensure data quality and meet business needs.
- Develop and maintain ETL pipelines, jobs, and workflows in Databricks.
- Implement data governance best practices, including security policies, access control, and auditing with Unity Catalog.
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