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Job Description
ETL Support Engineer:
- Maintain ETL pipelines using Databricks and PySpark to extract, transform, and load data from various sources.
- Troubleshoot and resolve issues related to data transformations or loading processes in Databricks.
- Develop and maintain documentation for ETL processes, configurations, and data mappings.
- Strong proficiency in Databricks with hands-on experience in PySpark for data processing.
- Solid understanding of SQL and database concepts for data manipulation and querying.
Required skills:
- SQL & Database Management
- Data Warehousing
- DevOps Practices and Ci/CD Pipelines
- ETL (Extract, Transform, Load)
- Big Data Technologies
Nice to Have:
Programming skills in languages like Python, Scala.
Skills
Azure Data FactoryDatabricksAws Data LakeSQLData LakeETLFactoryDataBig Data TechnologiesPythonDevopsSqlIf a job posting appears fraudulent, asks for payment, contains misleading information, or violates our guidelines, please report it immediately. Our team will review it promptly, Jobaaj does not charge any fee from the applicants.
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