Key Responsibilities Design, build, and optimize data pipelines using Azure Synapse Pipelines Develop and maintain data models and transformations using T-SQL and Synapse Data Warehouse Implement and manage Dataflows for efficient data ingestion and processing Work with Databricks, PySpark, and SparkSQL for large-scale data processing Integrate data from multiple source systems, primarily Oracle ERP systems Transform raw ERP data into analytics-ready datasets for Power BI / Power Apps Collaborate with business users, analysts, and other technology teams to gather requirements Ensure data quality, performance optimization, and best practices in data engineering Support production issues and continuously improve data solutions Requirements Must-Have Technical Skills 8–10 years of experience in Data Engineering Strong hands-on experience with: Azure Synapse T-SQL Synapse Pipelines Synapse Data Warehouse Dataflows Experience with: Databricks PySpark SparkSQL MS Fabric Strong understanding of cloud-based data architectures Ability to work independently with minimal supervision