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 setting including nights,
weekends, and public holidays.
Strong attention to detail; disciplined in following runbooks,



SOPs, and
escalation protocols.
Transparent and concise written communication for ticket documentation and handoff
notes.
Cooperative 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 establ

📌 Support Analyst Pune
🏢 EXL
📍 Pune