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 qualifications):
Ed...