Data & Finance Support Engineer

Job Responsibilities:

1. Provide application support to various business users. Attend to business queries and business requests promptly. Follow through the business requests to a proper closure.
2. Work on timely resolution for reported incidents to meet service level targets. Incidents include failures & queries reported by business users and technical staff; event alerts automatically detected and reported by the event monitoring tool.
3. Perform root cause analysis to identify permanent solutions to prevent recurring incidents and minimize the impact of incidents that cannot be prevented.
4. Ensure all incidents and problems are proactively managed – prioritizing numerous issues of varying severity and escalating issues as appropriate to necessary teams and management.
5. Collaborate with the development team in identifying resolutions and transitioning releases into the production environment.
6. Adopt standard Incident and Problem Management workflow and processes, i.e., timely ticket, defect, and incidents logging including proper change management processes and quality issue/impacts emails.
7. Participate in DR/BCM activities or infrastructure-related upgrades.
8. Responsible for capacity management. Monitor & analyze current performance and capacity data and forecast the capacity required by the applications ahead.
9. Aside from day-to-day support duties, there will be requirements to undertake other responsibilities such as management reporting & other centrally driven project initiatives as needed.

Job Requirements:

1. Degree in computer science/engineering or related disciplines.
2. At least 5 years of experience in application development and support environment in Banking Finance, ETL, or Data warehouse.
3. Individual must have working experience in Unix/Windows platforms, batch scheduling tools, Database query skills, and BI Tools skillsets.
4. Mandatory Technical skills: Oracle / MS SQL, Unix/Linux, AS400, Control-M, Shell scripting, Informatica, Hadoop, OneSumX, Hyperion, BASEL, Cloudera Big Data, Teradata.
5. Knowledge of ITIL or a similar framework will be an advantage.
6. Excellent communication, interpersonal, and analytical skills.