Data Engineer

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