Description

Design, build, and maintain scalable data solutions using the Azure ecosystem.

This role is hybrid.

Responsibilities

• Design and optimize data pipelines using Azure Databricks, PySpark, SparkSQL, and Python.
• Build and maintain data ingestion and orchestration workflows with Azure Data Factory (ADF).
• Implement CI/CD pipelines using Azure DevOps and GitHub for version control and automation.
• Develop and integrate APIs to support data exchange across systems.
• Ensure data quality, performance, security, and scalability across platforms.

Required Skills

• 12+ years of relevant experience in data engineering.
• Strong proficiency in PySpark, SparkSQL, and Python.
• Deep expertise with Azure Databricks and the Azure data ecosystem.
• Hands-on experience with Azure Data Factory (ADF) development.
• Experience implementing CI/CD pipelines using Azure DevOps and GitHub.
• Strong problem-solving and communication skills.

Preferred Skills

• Experience in the Banking or Financial Services domain.
• Recent production-grade project engagement.

Key Skills

Education

Any Graduate