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 scripting 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 scripting.
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.

Big Data Support Engineer