Senior Data Engineer – Analytics

Company Description

Life at  Grab

At Grab, every Grabber is 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. These principles guide and help us make decisions as we work to create economic empowerment for the people of Southeast Asia.

Job Description

Get to know the Team
Analytics Data Warehousing & Business Intelligence (DWBI) 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. Analytics DWBI 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).
 

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, organisational-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

Qualifications

The Must-Haves

• Bachelor degree in Analytics, Data Science, Mathematics, Computer Science, Information Systems, Computer Engineering, or a related technical field
• At least 5+ 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 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

Additional Information

Our Commitment

We are committed to building diverse teams and creating an inclusive workplace that enables all Grabbers to perform at their best, regardless of nationality, ethnicity, religion, age, gender identity or sexual orientation and other attributes that make each Grabber unique.