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

• 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

  • Py Spark

  • SparkSQL

  • MS Fabric

• Strong understanding of cloud‑based data architectures

• Ability to work independently with minimal supervision