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Remote
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Yesterday
Required Experience: 5+ years of experience in Data Engineering / ETL.3+ years of hands-on experience with Databricks.Strong experience with PySpark, Python, and SQL.Responsibilities: Develop and maintain ETL/ELT pipelines using Databricks and PySpark.Build data ingestion and transformation processes from multiple source systems.Develop and optimize PySpark and SQL code for large-scale data processing.Perform data validation, error handling, and data quality checks.Map and document existing ETL
Easy Apply
Full-time
Depends on Experience
