Get to know the Role:
Analytics Architecture team at Grab is looking for an experienced Data Engineer to design, build and scale our data warehouse, the backbone of Grab’s Analytics. You will work closely with stakeholders from multiple lines of business (LOBs) to enable the translation of raw data into valuable information for insights and decision-making across the company.
The day-to-day activities but not limited to:
- Participate in all aspects of developing a data warehouse. 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, organisational-wide visibility through metric measurements.
- Develop and uphold best practices with respect to change management, documentation and data protocols.
- Identify system and application metrics for quality assurance, 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 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 liaise with various stakeholders across the organization.
- Excellent written and verbal communication skills. Able to translate business needs into data speak and vice versa.
