Senior Data Engineer

Date: Jul 12, 2024

Location: Kuala Lumpur, MY

Genting Malaysia Berhad

 

Genting Malaysia is a leading multinational conglomerate that is principally involved in the leisure and hospitality business, covering theme parks, casinos, hotels, seaside resorts and entertainment venues in Malaysia, the UK, and the US. It is one of the largest listed companies in Malaysia.

 

With over 50 years of experience and milestones, Genting Malaysia is currently expanding and transforming Resorts World Genting into the leading tourism and entertainment hub via the Genting Integrated Resort Transformation Plan. Under this plan, flagship projects include Skytropolis Indoor Theme Park, the outdoor theme park - Genting SkyWorlds - and the adjacent shopping complex - SkyAvenue, which houses some of the most prestigious lifestyle brands from around the world.  The plaza also features a state-of-the-art cable car system, which connects SkyAvenue to the mid-hill Genting Highlands Premium Outlets, carrying up to 3,600 passengers per hour per way.

 

If you are searching for a dynamic career full of exciting growth opportunities; look no further and join us today!

 

Job Descriptions:

 

  • As a technical expertise to develop, build and supporting Enterprise Data Warehouse and data pipelines that meet functional/non-functional business requirements that provide reliable and scalable data infrastructure and deliver strategic business value to the organization. 
  • Participate in technical planning & requirements gathering phases for projects involving data integration from various databases/applications across the organization (internal/3rd party). Responsible for ingestion, cleansing and transformation of data during development of the data integration to provide high quality of information to support business analytics need. 
  • Responsible for development data integration with best practices and complying with the design provided by the technical lead. 
  • Develop ETL to ingest and transform data from databases and APIs into a data warehouse. 
  • Responsible for developing, supporting, as well as implementation of enterprise data warehouse and BI systems 
  • Assist in the maintenance and implementation of the ETL processes (SAS and SQL). 
  • Build and develop data pipelines to load, transform, and integrate data from various sources. 
  • Work on the ETL transformation configurations and resolve data integrity discrepancies. 
  • Work closely with the IT Teams and business users on setting up new data feeds and maintaining existing ones. 
  • Enhance and support the data warehouse batch processing. 
  • Participate in technical development life cycle including coding, testing, troubleshooting. 
  • Troubleshoot production support issues in ETL processes, data mining, data integration, and data quality issues. 
  • Perform user acceptance and system integration testing for quality assurance.

 

Job Requirements:

 

  • A bachelor's degree or equivalent in information technology, Computer Science, Computer Engineering or equivalent. 
  • At least 4-5 years of experience in a technical role data engineering or business intelligence development with minimum 2 years’ software development and/or technical support experience. 
  • Hands-on experience and technical expertise in delivering data integration and analytical services. 
  • Strong programming, ETL and database management Skills i.e. SAS, SQL.
  • Knowledge in .NET (VB) programming will be added advantage.
  • Experience with data pipeline and workflow management.
  • Able to work independently and in a team. 
  • Good critical thinking and problem-solving abilities.
  • Ability to analyze and understand complex problems and explain technical information in business terms.
  • Able to communicate clearly and effectively, both verbally and in writing.

 

Be part of an exciting history-in-the-making, help shape the future with us. This is a golden opportunity for you to establish a strong foundation for a great career within the company. Apply now!


Job Segment: Data Warehouse, Testing, Data Mining, Computer Science, Quality Assurance, Technology