Senior Data Platform Engineer

About the Role
We are looking for a Senior Data Platform Engineer with strong hands-on experience in building and scaling enterprise data platforms on Azure and Databricks.

Mandatory Skills

• PySpark
• Azure Data Services
• Databricks (DLT, Autoloader, Workflows)
• Data Engineering and ETL/ELT development
• SQL and Python

Key Responsibilities

• Design, develop, and optimize scalable data pipelines using Azure and Databricks.
• Build and enhance metadata-driven ingestion frameworks.
• Develop batch and streaming data solutions using PySpark.
• Ensure data quality, performance, reliability, and security.
• Collaborate with cross-functional teams to deliver production-ready data solutions.
• Drive engineering best practices, code reviews, and platform optimization.

Experience

• 8+ years of experience in Data Engineering.
• Strong expertise in PySpark, Azure, and Databricks is mandatory.
• Experience with enterprise-scale data platforms and cloud-native architectures.