Azure Data Engineer

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