Posted:2 months ago|
Platform:
Work from Office
Full Time
Experience with Databricks, Spark, and handling large volume of data Strong experience in data migration, ETL, and data integration processes. Proficient in Python and SQL Knowledge of data warehousing and data lakes concepts. Familiarity with CI/CD processes for data workflows. Should be able to perform validation to ensure data integrity, accuracy, and consistency Test end-to-end data pipelines for performance, scalability, and fault tolerance. EXPERIENCE 4.5-6 Years SKILLS Primary Skill: Data Engineering Sub Skill(s): Data Engineering Additional Skill(s): ETL, databricks, Azure Data Factory, Pyspark
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