A leading financial institution dedicated to strengthening its data operations and ensuring reliable, timely, and high‑quality data delivery across its enterprise platforms. The organization is seeking a Data Ops Engineer to support daily operations, incident management, and continuous improvement of critical data pipelines.
Responsibilities- Monitor key data flows, identify anomalies, and react promptly to operational alerts and incident notifications.
- Perform first-level triage on operational issues and coordinate with specialized teams for deeper investigation and resolution.
- Lead the incident management process, including severity assessment, documentation, ticket creation, and follow‑through until closure.
- Conduct root‑cause analyses after incidents, maintain logs, and recommend preventive measures to avoid recurrence.
- Prepare and deliver daily operational summaries covering system health, issues encountered, and ongoing remediation activities.
- Maintain continuous awareness of the status of all critical data flows and proactively communicate risks or delays to stakeholders.
- Experience in monitoring and supporting complex data pipelines and operational workflows.
- Strong troubleshooting and triage skills with the ability to manage multiple concurrent issues.
- Familiarity with data quality, data freshness concepts, and operational performance indicators.
- Ability to document incidents, provide summaries, and communicate clearly with technical and non‑technical teams.
- Experience with incident management processes, including prioritization, escalation, and cross‑team collaboration.
- Strong organizational skills and the ability to maintain operational discipline under pressure.
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