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Azure Data Engineer | L3 Production Support | 4 YoE | Immediate Joiner | Any UST Location

UST

2 - 5 years

Bengaluru

Posted: 21/03/2026

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Job Description

Candidates ready to join immediately can share their details via email for quick processing.

CCTC | ECTC | Notice Period | Location Preference

nitin.patil@ust.com

Act fast for immediate attention!


Key Responsibilities

  • Provide L3 production support for Azure-based data platforms and analytics solutions
  • Monitor, troubleshoot, and resolve issues in Azure Data Factory, Databricks, Data Lake, Synapse, Power BI, and Functions App
  • Perform root cause analysis for recurring production issues and implement permanent fixes
  • Support and maintain ETL / ELT pipelines using PySpark, Python, SQL, and Databricks
  • Handle performance tuning and optimization of pipelines, jobs, queries, and reporting workloads
  • Ensure smooth execution and monitoring of scheduled data jobs and workflows
  • Work on incident management, problem management, defect resolution, and service improvement
  • Support CI/CD deployments, release validation, and production change activities
  • Implement and support automation, monitoring, alerting, and security controls
  • Work closely with business users, support teams, architects, and stakeholders to ensure timely issue resolution
  • Provide impact analysis and support for production releases and enhancements
  • Maintain support documentation, KT documents, and operational runbooks
  • Mentor junior team members and support knowledge sharing within the team

Required Skills

  • Strong hands-on experience in Azure Data Engineering production support
  • Expertise in:
  • Azure Data Factory
  • Azure Databricks
  • Azure Data Lake
  • Azure Synapse
  • Power BI
  • Strong experience in:
  • SQL
  • PySpark
  • Python
  • ETL Pipelines
  • Good knowledge of:
  • Troubleshooting
  • Root Cause Analysis
  • Performance Optimization
  • CI/CD
  • Automation
  • Monitoring
  • Security
  • Experience with:
  • Power Apps
  • Power Automate
  • Azure Functions App
  • Strong stakeholder communication skills
  • Experience in production incident handling and L3 support model

Preferred Skills

  • Experience in Data Vault
  • Exposure to Big Data environments
  • Experience in solution architecture and system improvement recommendations
  • Mentoring or team support experience
  • Understanding of enterprise support processes and SLA-driven environments

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