Big Data Support Engineer
Posted
Description
Responsibilities
- Monitor and provide operational support for production applications, ensuring service levels and application availability are maintained.
- Troubleshoot batch processing failures and production issues, perform root cause analysis (RCA), and implement corrective actions to minimize business and SLA impacts.
- Analyse internal and external data using SQL to investigate issues, resolve business queries, and identify process improvement opportunities.
- Perform production support activities using Unix/Linux shell ing for troubleshooting, automation, and operational tasks.
- Manage and respond to incidents, problems, and service outages, ensuring timely resolution and minimal disruption to business operations.
- Proactively identify recurring issues and recommend preventive maintenance measures to improve application stability and performance.
- Respond promptly to queries and support requests raised by various business units.
- Provide regular status updates on incidents, progress, issues, and resolutions to business stakeholders.
- Participate in Disaster Recovery (DR) and Business Continuity (BCP) exercises to ensure operational readiness.
- Work with job scheduling tools to monitor and manage batch job execution and dependencies.
- 3–4 years of experience in IT, preferably in Production Support or Application Support.
- Strong analytical and troubleshooting skills with hands‑on experience in a production support environment.
- Strong knowledge of SQL for data analysis, querying, and issue investigation.
- Hands‑on experience with Unix/Linux commands and shell ing.
- Understanding of Incident Management, Problem Management, and Service Outage Management.
- Familiarity with Teradata or Hadoop.
- Exposure to job scheduling tools such as Control‑M, Autosys, or equivalent.
- Understanding of batch processing, production monitoring, SLA management, and application support operations.
- Good communication, stakeholder management, and articulation skills.
- Ability to work in a time‑sensitive production environment and manage multiple priorities effectively.