Description

You will build and maintain scalable data pipelines within the Azure ecosystem.

This role is hybrid.

Responsibilities

• Develop and maintain ETL processes using Azure Data Factory and Azure Databricks.
• Build scalable applications to extract, transform, and load data into SQL Server, Hadoop, or Data Lake storage.
• Execute data migration projects across diverse environments.
• Collaborate with engineering and product teams to map and understand complex data systems.

Required Skills

• 8-10 years of hands-on experience with Azure Data Factory and Azure Databricks.
• Strong development experience with PySpark.
• Proficiency with SQL Server.
• Experience working with Hadoop and Data Lake architectures.
• Ability to build maintainable ETL pipelines for various data formats.
• Bachelor's degree or equivalent graduate level education.

Key Skills

Education

Any Gradute