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Career Family
TechOps -CloudOps
Role Type
DataOps Engineer Azure
The chance
We are looking for a seasoned and proactive Senior Azure DataOps Engineer to lead and manage data operations across modern Azure-based data platforms. In this role, you will take ownership of mission-critical data pipelines, contribute to reliability engineering initiatives, and guide the continuous improvement of data ingestion, transformation, and monitoring processes. You will collaborate with cross-functional teams to drive operational excellence, troubleshoot complex issues, and help shape our DataOps strategy.
Your Key Responsibilities
- Take end-to-end ownership of data pipeline reliability, monitoring,
and incident management for Azure Data Factory (ADF), Azure Data Lake, Databricks, and Informatica CDI
- Lead the root cause analysis of recurring incidents, implement preventive actions, and establish best practices to improve system resilience
- Mentor junior engineers and guide them in incident resolution, automation, and process standardization
- Collaborate with Data Engineering, DevOps, and Analytics teams to support production deployments and performance optimization
- Proactively identify gaps in data workflows and implement scalable solutions using scripting, automation, and CI/CD tools
- Drive improvements in operational processes by maintaining and enhancing runbooks, SOPs, and knowledge bases
- Ensure compliance with data governance, logging, observability, and security best practices
- Participate in rotational on-call duties and act as a point of escalation for complex operational issues
- Responsible for decision
📌 TechOps-CloudOps-DataOps-Senior (Bengaluru)
🏢 EY
📍 Bengaluru