Responsibilities
· Provide application support to various business users. Attend to business queries and business requests promptly. Follow through the business requests to a proper closure
· Work on timely resolution for reported incidents so as to meet service level targets. Incidents include failures & queries reported by business users and technical staff; event alerts automatically detected and reported by event monitoring tool
· Perform root cause analysis to identify permanent solution so as to prevent recurring incidents and to minimize the impact of incidents that cannot be prevented
· Ensure all incidents and problems are proactively managed – Prioritizing numerous issues of varying severity and escalate issues as appropriate to necessary teams and management
· Collaborate with the development team in identifying resolutions and transitioning of releases into production environment
· Participate in BCM activities or infrastructure related upgrade
· Responsible of capacity management. To monitor & analyse current performance and capacity data and forecast the capacity required by the applications ahead
· 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
Requirements
· Degree in computer science/engineering or related disciplines.
· Min 4 years of experience in application development and support environment in ETL, Data warehouse, and business intelligence
· Individual must have working experience in ETL, Data warehouse and various business intelligence tools on Unix/Windows platforms.
· Mandatory Technical skills : Informatica (Infra and data workflow tracing), BI Tools such as QLK, SAS, Power BI, Oracle, Unix/Linux, AS400, Control-M, Shell scripting
· Knowledge of ITIL of similar framework will be advantage
· Experiences in Quantexa, Teradata, Big Data using Cloudera (CDH 5.8 or above), Hive, Impala, HDFS, YARN, Sqoop, Oozie, Hbase, kafka, Map Reduce/Spark are optional and good advantageous
· Excellent communication, interpersonal and analytical skills
· Excellent knowledge of banking business data across various sectors
· Excellent & proven Incident/Problem Management and organization skills a must
