Description
Technical Skills
- knowledge of Hadoop ecosystem: Oozie Workflow Manager, Apache Hive, Apache Spark — job monitoring, resubmission, and basic troubleshooting.
- Familiarity with Apache Airflow: DAG monitoring, task failure identification, and manual trigger/rerun procedures.
- Experience with Managed File Transfer (MFT) tools — monitoring transfer jobs, identifying failures, and initiating reruns.
- Working knowledge of Jenkins — pipeline monitoring, build status tracking, and failure alerting.
- Understanding of AWS cloud services (S3, EMR, CloudWatch, EC2) in a data engineering context.
- Experience using ServiceNow or similar ITSM platforms for ticket logging, triage, and workflow management.
- Ability to read application/system logs and identify error patterns; comfortable with command-line interfaces.

Operational & Soft Skills
- 2–4 years of experience in IT operations or data platform support roles.
- Ability to work in a rotational 24×7 shift environment including nights, weekends, and public holidays.




- Robust attention to detail; disciplined in following runbooks, SOPs, and escalation protocols.
- Clear and concise written communication for ticket documentation and handoff notes.
- Collaborative team player; comfortable working with AI-assisted tools and adapting as automation evolves.
- Ability to work calmly under pressure during high-severity (P1/P2) incident scenarios.

Preferred Qualifications
- ITIL Foundation certification (v3 or v4).
- Exposure to data observability tools (Grafana, Prometheus, Cloud Watch or similar).
- Basic scripting skills (Python/Bash) for log parsing and ad hoc data checks.
- Experience in financial services or fintech data operations.

Responsibilities
Monitoring & Alerting
- Proactively monitor data pipelines, batch jobs, Oozie workflows, Airflow DAGs, MFT transfers, and Jenkins jobs across all platform components.
- Respond to automated alerts within SLA windows; validate, categorise, and action each alert using

📌 Support Analyst (Pune)
🏢 EXL
📍 Pune