System Analyst - Data Engineering

Business/Systems Analysts (Information & Communication Technology)

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!

Responsibilities:

As technical lead of Data Engineering Team on enterprise data solutions project development, testing, implementation, maintenance, and support. As the technical subject matter expert in ensuring project deliverables are as per the scope, good quality, within budget and time.

To design, develop, implement and maintain Enterprise data warehouse, data management processes, analytics architectural solutions to support analytical business needs and operational efficiency.

Analyze and resolve production system issues/cases relates to EDW such as data pipeline failure, data accuracy investigation, performance optimization support and data store capacity management to ensure availability of accurate and up-to-date data to support business needs.

Design, develop & implement the data quality standards and metrics to ensure high quality data (accuracy, completeness, consistency) to support business analytics initiatives and strategy.

Responsible for development data integration process flow with best practices and complying with the design provided by the Data Architect.

Lead the maintenance and implementation of the ETL processes (SAS and SQL).

Design, build and develop data pipelines to load, transform, and integrate data from various sources.

Design & develop ETL to ingest and transform data from databases and APIs into a data warehouse.

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

Reports project's progress, risks & issues to project manager/business users to ensure timely resolution on projects deliverables while meeting business goals, objectives, and expectations.

Requirements:

A Bachelor’s degree or equivalent in information technology, Computer Science, Computer Engineering or equivalent.

Minimum 5 years’ experience in data architecture and data related experience (Data Warehouse, Data Lake, Data Management and/or Business Intelligence)

Minimum 3 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:Database, Systems Analyst, Data Warehouse, SQL, Data Mining, Technology

Company information

Registration No.

198001004236

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