Manager, DM - Data & Analytics Platforms Delivery MY

Manager, DM - Data & Analytics Platforms Delivery MY

3-5 years
Not Specified

Job Description

Develops, constructs, tests and maintains architectures (such as databases and large scale processing systems) as well as works with stakeholders to understand the business requirements and provide recommendation.
Key Responsibilities *
  • Analyze and organize raw data.
  • Design and build ETL (data extraction, transformation, and loading) for data ingestion from different host systems, bank data warehouse and external sources to DM platform (Big Data and SAS).
  • Provide support related to R, Python packages as per request plan on future upgrades.
  • Work closely with Data Scientist team on Script Automation/ algorithm for in-house model development.
  • Develop automated scripts for standard and periodic data reports and data feeds into downstream systems.
  • Perform application healthcheck & manage usages, services and handle user access based on role to ensure platform stability and data security.
  • Initiate all Infrastructure upgrades for Data platform including patches upgrade, enhancements and License renewals periodically.
  • Review and assess the current utilization and requirment for current infrastructure in terms of technology and capacity.
  • Liaise with different system owners to understand source system changes and plan downstream impact management.
  • Liaise with Group Technology on firewall issues, network issues, server issues related to our application.
  • Perform continous process improvement and optimization on current architecture as well as enhance data quality and reliability.
  • Prepare design document for any new development or enhancement of the data mart.
  • Work in project with various roles such as business analyst, developer and tester.
  • Constant communication and follow up with stakeholders.
(Basic Degree/Diploma etc)
  • Bachelor's Degree or Professional Qualification in the relevant discipline (Computer Science/Financial/Engineering/IT)

Professional Qualification and/or Regulatory, Licensing requirements
Relevant Work Experience
  • Have relevant banking background in established bank / financial institutions.
  • 3-5 years experience in Data Engineering/ IT.

Required Competencies and Skills *
(Essential to succeed in this job)
Technical/Functional skills
  • Good SQL programming and familiar with R, Python, etc.
  • Hands-on experience and knowledge of various ETL techniques and frameworks, such as Flume, Oracle ODI, SAS DI, Data Stage etc.
  • Hands-on experience with integration of data from multiple data sources
  • Strong understanding of data modelling, algorithms, and data transformation techniques.
  • Good knowledge of Hadoop ecosystem, Big Data querying tools, such as Pig, Hive, and Impala.
  • Good knowledge in UNIX environment. Experience with Cloudera Distribution of Hadoop System, management of Hadoop cluster, with all included services
  • Work with internal business client to problem solve data loading and integrity issues.
  • Dynamic ability to deliver amidst complexity and pressure - results oriented
  • Plan and execute data strategy framework in the team.

Personal skills (Soft Competencies)
  • Good Attitude, team player and self-discipline.
  • Strong verbal communication skills.
  • Able to work under pressure and make good decision.
  • Good in finding solution and solving problem.

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