Posted 21 May, 2026
Azure Data Engineer | L3 Production Support | 4 YoE | Immediate Joiner | Any UST Location
UST
Bengaluru, KA, IN
Full Time
Reference: ee2c25de8f0d81f0
Job Description
Candidates ready to join immediately can share their details via email for quick processing.
CCTC | ECTC | Notice Period | Location Preference
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
