Data Engineer (ETL)
Kuala Lumpur, Malaysia
Data Wrangling
Full Time
The Employer

The company was incorporated in 1995 and was one of the first companies in Malaysia, accorded Multimedia Super Corridor (MSC) status by the Malaysian Government.

We provide IT Management Services and Application System Solutions to Insurance, Aviation, Banking, Construction, Telco, Data Center and Government institutions.

Our strengths and competencies attracted a joint venture with a Global Fortune 100 Financial Services Company in 1998. It further expanded our capabilities in terms of IT Infrastructure Management and Program Services.

Today, the company has repositioned itself through its passion, commitment, experience and innovation, providing a broad range of services to worldwide customers whom we have supported for more than 10 years.

Perks & Benefits
  • Medical
  • Miscellaneous allowance
Mission and goals
  • Our mission is to help businesses in building loyal customers through continuous improvement by using data and technology.
Culture
  • Able to learn and gain knowledge on financing (depending on the department)
  • Teammates are willing to help
  • A very good starting place for fresh graduates to gain new Java knowledge
Responsibility
  • Provide solutions to the business users.
  • Design, code constructions, SIT testing, support UAT and implement enhancements.
  • Develop the necessary documentations (technical specs, test plan, change management) to support the IT SDLC process.
  • Provide level-2 BAU (production support) eg. batch runs, OS patching/upgrade, tech refresh/upgrade.
  • Work with infrastructure team to ensure applications are smooth running.
Skill Requirements

At least 3 years with hands-on experience:

  • Database – DB2 (Preferred), Oracle (Preferred), IBM Netezza
  • ETL/ELT data workflows – Data Stage (Preferred), SAP BI
  • Data warehouse, Data mart – including analysis of business/users requirements, solutioning
  • Data design and data model

Personality Traits:

  • Independent with initiative.
  • Ability to adapt to changes.
  • Enjoy being challenged and to solve complex problems.
  • Positive attitude with a great drive to deliver.
  • Possess great sense of ownership to issues and problems.
  • Aptitude to grasp concepts quickly and ability to apply.

Competencies:

  • Possess strong analysis abilities with acute sense of data analytics.
  • Multiple years of experience in a professional environment performing analysis, design and development tasks on multiple platforms.
  • Familiar with data analytics, data mining concepts and machine learning algorithms.
  • Proficient in data design, data architecture, robust ETL/ELT data workflows.
Skillset & Experience
Data Wrangling Mid (4-7 Years)