· Design, develop, and maintain ETL processes using Azure Databricks.
· Collaborate with data engineers, data scientists, and business stakeholders to understand data requirements and deliver efficient data pipelines.
· Optimize and troubleshoot ETL workflows to ensure high performance and reliability.
· Implement data quality checks and validation processes to ensure data integrity.
· Develop and maintain documentation for ETL processes and data pipelines.
Monitor and manage data pipeline performance, identifying and resolving issues as they arise.
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· Proven experience with ETL processes and tools, specifically using Azure Databricks.
· Strong knowledge of SQL and experience with relational databases.
· Proficiency in programming languages such as Python
· Experience with cloud platforms, particularly Microsoft Azure.
Familiarity with data warehousing concepts and technologies.
Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.