Data Engineer
2 weeks ago
Key Responsibilities
• Assist in designing, building, and maintaining ETL/ELT data pipelines using Microsoft Fabric and Azure Databricks.
• Support migration and maintenance of SSIS packages from legacy systems.
• Implement medallion architecture (Bronze, Silver, Gold) for data lifecycle and quality.
• Create and manage notebooks (Fabric Notebooks, Databricks) for data transformation using Python, SQL, and Spark.
• Build curated datasets to support Power BI dashboards.
• Collaborate with data analysts and business stakeholders to deliver fit-for-purpose data assets.
• Apply data governance policies in line with Microsoft Purview or Unity Catalog.
• Support monitoring, logging, and CI/CD automation using Azure DevOps.
Technical Stack
• Microsoft Fabric (Dataflows, Pipelines, Notebooks, OneLake)
• Azure Databricks
• SQL Server / SQL Managed Instances
• Power BI
• SSIS (migration and maintenance)
• LangGraph and RAG DB (for advanced data workflows)
Qualifications
• Bachelor's degree in computer science, Information Systems, or related field.
• 2–3 years of experience in data engineering or related roles.
• Proficiency in SQL, Python, Spark.
• Familiarity with LangGraph and RAG DB concepts.
• Hands-on experience with Microsoft Fabric and Power BI.
• Understanding of ETL/ELT pipelines and data warehousing concepts.
Preferred
• Knowledge of CI/CD automation with Azure DevOps.
• Familiarity with data governance tools (Microsoft Purview, Unity Catalog).
• Experience with SSIS package migration and maintenance.
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