Description

Design, build, and maintain scalable ETL/ELT pipelines and data services on Microsoft Azure.

This role is hybrid.

Responsibilities

• Develop and optimize data processing solutions using Python and PySpark.
• Build and support cloud-native data platforms on Microsoft Azure, including Databricks and Azure Data Factory.
• Implement CI/CD practices and automated deployment processes.
• Develop APIs and data services using FastAPI.
• Ensure data quality, governance, and performance optimization.

Required Skills

• 5+ years experience with Python and PySpark.
• Hands-on experience with Microsoft Azure cloud services.
• Expertise in Azure Databricks and Azure Data Factory (ADF).
• Strong SQL skills and experience building ETL/ELT pipelines.
• Experience with FastAPI for building data services.
• Knowledge of CI/CD tools and deployment practices.

Key Skills

Education

Any Graduate