Data Platform Engineer

2 days ago

Singapore Grab Full time

**Job 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.

**Get to know our Team**:
The Olympus team is the team that provides the most innovative solutions on Data Infrastructures for the DataTech family. We make an impact by ensuring robust infrastructures and platforms for our Engineers to work with. Our team is made up of a combination of passionate Site Reliability Engineers and Data Platform Engineers. If you are looking for an opportunity that allows you to design and manage large scale data infrastructures, look no further

**Get to know the Role**:
As the Data Platform Engineer, you will be working on all aspects of Data, from Platform and Infra build out to pipeline engineering and writing tooling/services for augmenting and fronting the core platform. You will be responsible for building and maintaining the state-of-the-art data platform supporting various departments in Grab. The team works closely with Data Engineer, Data Scientist, Product Managers, Legal, Compliance and business stakeholders across the SEA in understanding and tailoring the offerings to their needs. As a member of the Data Platform Team, you will be an early adopter and contributor to various open source big data technologies and you are encouraged to think out of the box and have fun exploring the latest patterns and designs in the fields of Software and Data Engineering.

**The day-to-day activities**:

- Build and manage Grab’s largest data platform and provide the most scalable and resilient open source big data technologies as service to other teams. Technologies include Airflow, Spark, kubernetes services and more.
- Design and build Infrastructure automation and monitoring tools for various platform teams in the kubernetes ecosystem.

**The must haves**:

- A degree in Computer Science, Software Engineering, Information Technology or related fields.
- Experience in software engineering in a distributed systems environment.
- Strong understanding of system performance and scaling.
- Proficiency in at least one of the programming languages Java, Scala, Python or Go along with a fair understanding of runtime complexities.
- Good knowledge of Big data process engine systems like Spark, Presto, Kafka, Apache Flink, Beam etc.
- Possess excellent communication and analytical abilities with proven design skills.
- Able to think critically of the current system in terms of growth and stability.
- The Grab 4H principles: Heart, Hunger, Honour and Humility (and is very keen to expand on Infra knowledge).

**The Nice-to-Haves**:

- Experience with Big Data architectures.
- Experience with build and deploy tooling - Atlantis, ArgoCD, and similar.
- Experience with Kubernetes clusters.
- Experience with operating production services in cloud environments - AWS or Azure.

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