Job Description

Description

:

Data Warehouses and Data Analytics are integral part of the enterprise strategic that can help businesses steer business decision and insights for targeted marketing.

The successful candidate can help our enterprise better manage and leverage its data, by working with a team or partner to provide a more powerful, scalable, and robustly architected environment to handle the growth in variety, volume, integrity and velocity of data.

Job Responsibilities:

The incumbent will be responsible for:

1) Acting as a solution lead and guide the project team members for the entire AWS Data Platform services setup.

2) Developing and plan for the implementation among the team members for the delivery.

3) Working alongside with Data Team to clarify requirements, set the scope and deliver the services based on the stakeholders' requirements.

4) Ensuring that all projects are delivered on-time and within scope.

5) Reporting project status and track progress for the delivery.

6) Creating and maintain comprehensive project documentation

Job Requirements:

To thrive and be successful in this role, you must have / be:

Degree/Diploma in any Information Technology discipline

Minimally 3 years of experience in data engineering on AWS Data Platform eg. A

WS Glue, AWS Lake Formation, AWS Redshift, AWS Data Zone, AWS Data Catalog

and etc.

Experience in data lake, data warehouse implementation.

Experience in securities and derivatives broking business is an advantage.

Possess a project management skillset (Applicable to Team Lead role only).

Familiar on the RDBMS, like SQL Server/Oracle is preferable.

Knowledge in Power BI is an advantage.

Proven ability in multiple disciplines of data warehousing such as data access, RDBMS, ETL and data management

Job Type: Permanent

Pay: Up to RM15,000.00 per month

Benefits:

Health insurance Maternity leave Opportunities for promotion Parental leave Professional development
Application Question(s):

Do you have experience in data lake, data warehouse implementation?
Experience:

data engineering on AWS Data Platform: 3 years (Required)
Work Location: In person