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