Get to know the Team:
Grab Data Warehouse team is looking for experienced data engineers to design and
enhance our data warehouse systems. 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:
The Data Engineer plays a key role within the data warehouse team in developing data
warehouse system, 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 different 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 take well defined
requirements, build a solution and deliver it on schedule
Design and implement scripts, ETL jobs, data models, etc.
Provide horizontal, organisational-wide visibility through metric measurements and insights
regionally across different functions and teams
Uphold best practices with respect to change management, documentation and data
Identify system and application metrics, develop dashboards and setup alerts for metrics
Participate in technical and product discussions, code reviews, and on-call support activities
What are we looking for:
Bachelor degree in Analytics, Data Science, Mathematics, Computer Science, Information
Systems, Computer Engineering, or a related technical field
At least 1-3 years of experience developing Data warehouse and Business
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 Scala or Python
Team player who can liaison with various stakeholders across the organization
Excellent written and verbal communication skills
Good to have but not must:
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
Experience with Cloud technologies such as Azure, AWS, etc. would be nice to have
Ability to drive initiatives and work independently
Understanding of performance, scalability and reliability concepts
Get to know Grab:
Grab is more than just the leading ride-hailing and mobile payments platform in Southeast Asia. We use data and technology to improve everything from transportation to payments and financial services across a region of more than 620 million people. We work with governments, drivers, passengers, merchants, and the community, to solve critical problems in Southeast Asia.
Grab began as a taxi-hailing app in 2012, but we have since extended our product platform to include GrabCar, GrabShare, GrabBike, GrabHitch, GrabExpress, GrabFood, GrabCoach, GrabShuttle, GrabCycle. We recently launched our fintech platform – GrabFinancial, which consists of payments, lending and insurance. Our latest addition is GrabVentures, an in-house incubation platform. We are focused on pioneering new commuting and payment alternatives for drivers and passengers with an emphasis on convenience, safety, and reliability. Currently, we offer services in 8 countries. Our R&D offices are in Singapore, Seattle, Beijing, Bangalore, Jakarta and Vietnam. We aspire to unlock the true potential of Southeast Asia and look for like-minded individuals to join us on this ride.
If you share our vision of driving South East Asia forward, apply to join our team today.