Job Description

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Get to know our Digital Bank Malaysia Project Team:

Grab is leading a consortium for Digital Bank licence and build a bank with the right foundation - using data, technology and trust to solve problems and serve customers. We have big dreams to unlock and financial inclusion for people in our region is just one. If you have what it takes, help build our new Digibank with us.

Get to know the Role

The Data Engineer plays a key role within the data warehouse team in developing the data warehouse system, working closely with stakeholders from multiple lines of business (LOBs).

The Day-to-Day Activities

Participate in all aspects of developing a data warehouse system. Design, develop, test, deploy and support scalable and flexible data warehouse system that can integrate with multiple LOBs

Liaison with Product, Business, Design and Engineering stakeholders to define and review technical specifications

Design and implement scripts, ETL jobs, data models, etc.

Provide horizontal, organizational-wide visibility through metric measurements and insights regionally across different functions and teams

Develop and uphold best practices with respect to change management, documentation and data protocols

Identify system and application metrics, develop dashboards and set up alerts for metrics and thresholds

Participate in technical and product discussions, code reviews, and on-call support activities

The Must-Haves

Bachelor degree in Analytics, Data Science, Mathematics, Computer Science, Information Systems, Computer Engineering, or a related technical field

At least 3-4 years of experience developing Data warehouse and Business Intelligence solutions

Sound knowledge of data warehousing concepts, data modelling/architecture and SQL

Ability to work in a fast-paced agile development environment

Knowledge of programming languages such as Java, Scala, Python, etc.

Understanding of performance, scalability and reliability concepts

Experience with relational as well as NoSQL data stores

Experience with Big Data frameworks such as Hadoop, Spark, etc.

Experience with Stream processing technologies such as Kafka, Spark streams, etc.

Experience with performance tuning & query optimization of data warehouse systems

Experience with Cloud technologies such as Azure, AWS, etc. would be nice to have

Ability to drive initiatives and work independently

Team player who can liaison with various stakeholders across the organization

Excellent written and verbal communication skills

Grab