Get to know the Team
Enterprise 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. Enterprise 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 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 RESTful APIs, scripts, ETL jobs, data models, etc.
- Write unit, functional and end-to-end tests
- Develop and maintain technical specifications, API documentation and runbooks
- 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:
- Sound knowledge of data modelling/architecture and SQL
- Sound knowledge of data warehousing concepts
- Good Understanding of APIs, HTTP, and REST
- Understanding of Big Data and stream processing technologies
- Knowledge of programming languages such as Java, Scala, Python, etc.
- Understanding of performance, scalability and reliability concepts
- Ability to drive initiatives and work independently
- Team player who can liaison with various stakeholders across the organization
- Excellent written and verbal communication skills
- Ability to work in a fast-paced agile development environment
- At least 3-4 years of experience developing Data warehouse and Business
Intelligence solutions - Finance and Accounting domain experience
- Experience with Java/Scala/Python programming languages
- 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 and query optimization of data warehouse
systems - Experience developing web applications using React JS, Angular JS, etc would be nice
to have - Experience with Cloud technologies such as Azure, AWS, etc. would be nice to have
