Data Engineer

July 14, 2026
Application ends: October 13, 2026
Apply Now

Job Description

Responsibilities:

  • Design, develop, and optimize ETL/ELT pipelines using Azure Synapse, Databricks, and Microsoft Fabric
  • Work with structured and semi-structured data across various storage systems including ADLS Gen2 and OneLake
  • Implement and manage medallion architecture (Bronze, Silver, Gold) in Delta Lake or Lakehouse environments
  • Collaborate with BI developers, data scientists, and business stakeholders to understand data requirements
  • Tune Spark and SQL jobs for performance and cost efficiency
  • Build dataflows, notebooks, pipelines in Fabric to support reporting, analytics, and archival workflows
  • Maintain and monitor data quality, lineage, and governance using tools like Purview, Fabric Data Activator, etc.
  • Automate data workflows and enforce data security and PII masking policies
  • Participate in cloud migration and modernization initiatives related to data platforms

Required Skills and Qualifications:

  • 6+ years of data engineering experience with strong hands-on work in
  • Azure Synapse Analytics (Dedicated SQL Pools, Pipelines, Serverless SQL)
  • Azure Databricks (PySpark, Delta Lake, notebooks, job orchestration)
  • Microsoft Fabric (Lakehouse, Warehouse, Dataflows Gen2, Notebooks, Pipelines)
  • Strong SQL and PySpark coding skills
  • Experience with Data Lake architecture, partitioning, data modeling, and performance tuning
  • Solid understanding of CI/CD for data pipelines using DevOps or Git
  • Familiar with Power BI integration and use of Fabric workspaces
  • Experience with Dataverse, D365, or exporting data from ERP/CRM systems is a plus
  • Knowledge of data security, archival strategies, and data lifecycle management

Preferred Qualifications:

  • Azure certifications (e.g., DP-203, AZ-305, Fabric certifications)
  • Experience with Delta Live Tables, Fabric KQL, or Real-Time Analytics
  • Familiarity with tools like ADF, Event Grid, Power Automate, or Logic Apps
  • Exposure to big data monitoring and cost optimization strategies

Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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