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 the Team

The Fulfillment tech family is one of the pillars enabling Grab to out-serve our customers and partners in different businesses and marketplaces across Southeast Asia. We are working on high throughput, real-time distributed systems that use advanced software engineering techniques to solve hundreds of millions of requests per day. We are a distributed team in 4 different locations: Singapore, Beijing, Indonesia, and Malaysia. Our communication is in English, both in spoken and written form.

Our mission is to offer the best-in-class products and experiences to our driver partners as to increase adoption and engagement of our services. Improve driver partner opportunities and efficiency in order to fulfill customer orders without fail, rain or shine. And to create efficient marketplaces by determining an optimal price that is both sustainable and loved by our partners and customers.

Get to know the Role

As the Data engineer in the Fulfillment Data Engineering team, you will work closely with data modelers, product analytics, product managers, software engineers and business stakeholders across the SEA in understanding the business and data requirements. You will be responsible for building and managing the data asset, including acquisition, storage, processing and consumption channels, and using some of the most scalable and resilient open source big data technologies like Flink, Airflow, Spark, Kafka and more on cloud infrastructure. You are encouraged to think out of the box and have fun exploring the latest patterns and designs.

The Day-to-Day Activities

• Developing scalable and reliable ETL pipelines and processes to ingest data from a large number and variety of data sources

• Developing a deep understanding of real-time data productions availability to inform on the real time metric definitions

• Maintaining and optimizing the performance of our data analytics infrastructure to ensure accurate, reliable and timely delivery of key insights for decision making

• Design and deliver the next-gen data lifecycle management suite of tools/frameworks, including ingestion and consumption on the top of the data lake to support real-time, API-based and serverless use-cases, along with batch as relevant

The Must-Haves

• 2-5 years of relevant experience in developing scalable, secured, distributed, fault tolerant, resilient & mission-critical Big Data platforms.

• Proficiency in at least one of the programming languages Python, Scala or Java.

• Understanding of big data and related technologies like Flink, Spark, Airflow, Kafka etc.

• Experience with different databases – NoSQL, Columnar, Relational.

• You have a hunger for consuming data, new data technologies, and discovering new and innovative solutions to the company's data needs

• You are organized, insightful and can communicate your observations well, both written and verbally to your stakeholders to share updates and coordinate the development of data pipelines

The Nice-to-Haves

• You have a degree or higher in Computer Science, Electronics or Electrical Engineering, Software Engineering, Information Technology or other related technical disciplines.

• You have a good understanding of Data Structure or Algorithms or Machine Learning models.

Our Commitment

We recognize that with these individual attributes come different workplace challenges, and we will work with Grabbers to address them in our journey towards creating inclusion at Grab for all Grabbers.