ETL Production Support Analyst
$ 9,750 - $ 9,750 / Per Mon
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Duration: 12 months contract
Working hours: Monday – Friday (8.30AM to 6.00PM / 9.00AM to 6.30PM)
Working locations: Central.
Salary up to $9750
Responsibilities
- Provide application support to various business users. Attend to business queries and business requests promptly.
- 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
Skills/Requirement
Must have Skills:
- 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
PERSOLKELLY Singapore Pte Ltd • RCB No. 200007268E • EA License No. 01C4394
R1547247 (Jyothi Chandrakanth Kamath)
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