Life at Grab
Grab is Southeast Asia’s leading superapp. We are dedicated to improving the lives of millions of users across the region by providing them everyday services such as deliveries, mobility, financial services, enterprise services and others. More than that, we provide the opportunity for them to have a better life. And that aspiration starts inside Grab because we believe in a seamless blend of work and home life, making every aspect of life better for all.
Guided by The Grab Way, which spells out our mission, how we believe we can achieve it, and our operating principles—the 4Hs: Heart, Hunger, Honour and Humility—we work to create economic empowerment for the people of Southeast Asia. With our unwavering commitment to our values, we believe that we're more than a service provider; we're agents of positive change.
Get to know the Team:
Grab has been growing rapidly and expanding into multiple lines of businesses over the past few years. Grab Data Warehouse team is responsible for developing business intelligence systems using data from all lines of businesses in order to provide business insights to key stakeholders across the company.
Get to know the role:
Our team is now looking for experienced data engineers to design and enhance our data warehouse systems. The Data Engineer plays a key role within the data warehouse team in developing the data warehouse systems, working closely with stakeholders from multiple lines of business (LOBs).
Day to day responsibilities for Data Engineer includes but is not limited to:
- 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, organization-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 setup 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 modeling/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 Big Data frameworks such as Hadoop, Spark, etc.
- Experience with developing data solutions on AWS
- Ability to drive initiatives and work independently, while being a team player who can liaison with various stakeholders across the organization
- Excellent written and verbal communication skills in English
The Nice-to-haves
- Experience with performance tuning & query optimization of data warehouse systems
- Experience with Graph DB
- Experience with Stream processing technologies such as Kafka, Spark streams, etc.
