Minnesota
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Today
Qualifications and Responsibilities for Data Engineer: Proficient in data manipulation and pipeline development Experience processing large datasets in a distributed environment Hands-on experience with Databricks notebooks, workflows, and cluster management Moderate hands-on experience with S3, Lambda, Glue, and EC2 Experience scheduling and automating pipelines Strong SQL skills for complex data extraction and transformation queries Comfortable with version control in a collaborative, shared-
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