Tech Mahindra

Azure Data Fabric Support engineer

Tech Mahindra$140K — $160K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of experience in data engineering and support roles
  • Proficient in Microsoft Fabric, including capacities and workspaces
  • Strong troubleshooting skills for data integration and performance issues
  • Experience monitoring platform health and KPIs
  • Familiarity with gateway configurations and hybrid connectivity

Responsibilities

  • Administer Microsoft Fabric capacities and workloads
  • Troubleshoot connectivity and refresh issues in Fabric services
  • Monitor health and optimize capacity utilization of the platform
  • Support hybrid connectivity and data movement across systems
  • Implement best practices for performance tuning and reliability

Benefits

  • Comprehensive medical, vision, and dental insurance
  • Life and disability insurance
  • Paid time off including holidays and parental leave
  • Sick leave as per legal requirements
Full Job Description
Job Summary

Title:Azure Data Fabric Support engineer

Location: Remote

Experience -5-7 +yrs

JD:
• Administer and support Microsoft Fabric capacities, workspaces, Lakehouse, Data Engineering and Data Factory workloads.
• Troubleshoot data integration, performance, connectivity and refresh related issues across Fabric services.
• Monitor platform health, capacity utilization, workload optimization and operational KPIs.
• Support gateway configurations, hybrid connectivity and data movement across enterprise systems.
• Implement best practices for reliability, governance, performance tuning and operational support.

The pay range for this role is $140,000 - $160,000 per annum including any bonuses or variable pay. Tech Mahindra also offers benefits like medical, vision, dental, life, disability insurance and paid time off (including holidays, parental leave, and sick leave, as required by law). Ask our recruiters for more details on our Benefits package. The exact offer terms will depend on the skill level, educational qualifications, experience and location of the candidate.

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