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We are seeking an Azure DataOps Data Engineer – II with strong hands-on experience in building, operating, and supporting scalable data platforms on Microsoft Azure. This role focuses on operational excellence, production support, and continuous improvement of data systems. The ideal candidate should be comfortable working in a 24/7 rotational support model.
Job Responsibility:
Support production data platforms, ensuring high availability, reliability, and performance
Monitor data pipelines and jobs, proactively identifying and resolving failures, performance issues, and data discrepancies
Perform root cause analysis (RCA) for incidents and implement preventive measures
Implement DataOps best practices including automation, monitoring, alerting, and operational dashboards
Collaborate with cross-functional teams to support reporting, analytics, and downstream consumption
Maintain documentation for pipelines, operational runbooks, and support procedures
Participate in on-call and rotational shift support, including weekends or night shifts as required
Requirements:
3–5 years of experience in Data Engineering / DataOps roles