ROLES & RESPONSIBILITIES
Experience with Databricks, Pyspark, 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
8-11 Years
SKILLS
Primary Skill: Data Engineering
Sub Skill(s): Data Engineering
Additional Skill(s): ETL, Databricks, Azure Data Factory, Pyspark
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