Posted:2 weeks ago|
Platform:
Work from Office
Full Time
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.
SQL & Database Management
Data Warehousing
DevOps Practices and Ci/CD Pipelines
ETL (Extract, Transform, Load)
Big Data Technologies
Programming skills in languages like Python, Scala.
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