Job Description

About the Role

We are looking for a Data Services Monitoring Engineer to support and monitor enterprise-scale Azure data platforms. The role focuses on proactive monitoring, issue identification, and first-level remediation to ensure high availability of analytics and reporting systems for global stakeholders.

This is a critical operations role supporting data warehouses, ETL pipelines, and BI platforms.

Key Responsibilities

  • Monitor Azure data infrastructure and data pipelines during defined monitoring windows
  • Ensure successful execution of:
  1. Azure Data Factory (ADF) pipelines
  2. Data warehouse and data mart refreshes
  3. Power BI dataset and semantic model refreshes
  • Monitor Azure services including:
  1. Azure SQL PaaS & Managed Instances
  2. IaaS VMs supporting data integrations
  3. Microsoft Fabric (SQL / Data workloads)
  • Identify failures, analyze root causes, and perform first-level remediation
  • Escalate issues with clear documentation and impact analysis
  • Track recurring incidents and suggest preventive actions
  • Maintain runbooks, SOPs, and operational documentation
  • Provide daily/weekly monitoring status reports and incident summaries

Required Skills & Qualifications

  • 3+ years of experience in Data Operations / Production Support / Monitoring roles
  • Strong hands-on experience with Azure Data Factory (ADF)
  • Microsoft Certified: Azure Data Engineer Associate (DP-203)
  • Microsoft Certified: Azure Administrator Associate (AZ-104)
  • Good understanding of Azure SQL Databases & Managed Instances
  • Experience supporting Power BI datasets and refresh schedules
  • Working knowledge of ETL processes and data warehouse concepts
  • Ability to analyze logs, job failures, and performance issues
  • Comfortable working in offshore model and early US business hours

Good to Have

  • Exposure to Microsoft Fabric
  • Experience with monitoring tools, alerts, and ticketing systems
  • Basic scripting knowledge (PowerShell / Python / SQL)
  • Experience working with global clients and SLA-driven environments

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