Position Overview
Responsibilities:
Build & Optimize: Develop scalable, secure ETL/ELT pipelines using Azure Data Factory and Databricks . Maintain & Support: Proactively monitor, troubleshoot, and optimize existing pipelines to ensure high availability and performance across global production environments (16x7 support model ). Ensure Quality: Implement automated testing frameworks for data validation, reconciliation, and schema integrity. Innovation & Modernization: Own initiatives to transition legacy data products to modern architectures, ensuring optimal scalability. Govern: Apply best practices in Data Management, Master Data Management (MDM) , and Knowledge Graph representation. Collaborate: Work within Agile sprints alongside Product Managers, Data Architects, and Engineering Squads. What You Need to Succeed (minimum qualification...