Senior Data Engineer

Company Description

About Grab and Our Workplace

Grab is Southeast Asia's leading superapp. From getting your favourite meals delivered to helping you manage your finances and getting around town hassle-free, we've got your back with everything. In Grab, purpose gives us joy and habits build excellence, while harnessing the power of Technology and AI to deliver the mission of driving Southeast Asia forward by economically empowering everyone, with heart, hunger, honour, and humility.

Job Description

Get to Know the Team

Grab Data Engineers are key contributors to Southeast Asia's extensive data ecosystem, enabling growth through democratization of data at scale. We maintain Grab's data infrastructure, a dependable and efficient platform that supports internal data processes and company-wide data lake access. Our tech stack leverages industry-leading distributed compute engines like Apache Spark, Trino, and Starrocks, orchestrated by Airflow and backed by AWS S3. Our evolving Data Lake storage architecture utilizes modern open-source formats like Apache Iceberg and Delta in addition to traditional Apache Hive Parquet tables.

Furthermore, our team collaborates closely with Grab's Data Catalog team to offer self-service data lake capabilities powered by Datahub and Grab's AI platforms to ensure a smooth experience for users in their AI development. By abstracting away technical complexity, we empower our users with a unified, friction-free journey from initial idea to actionable insight.

Get to Know the Role

You will support the mission of the team by maintaining and extending the platform capabilities through implementation of new features and continuous improvements. You will also explore new developments in the industry and integrate them into our ecosystem to the benefit of the data community at Grab.

You will report to our Data Engineering Manager II, and you will based onsite in our Petaling Jaya office.

The Critical Tasks You Will Perform

• You will maintain and extend the Python/Go/Scala backend for Grab's Airflow, Spark, Trino and Starrocks platform
• You will modify and extend Python/Scala Spark applications and Airflow pipelines for better performance, reliability, and cost.
• You will design and implement architectural improvements for new use cases or efficiency.
• You will build platforms that can scale to the 3 Vs of Big Data (Volume, Velocity, Variety)
• You will follow various testing best practices and SRE best practices to ensure system stability and reliability.

Qualifications

What Essential Skills You Will Need

• 4+ years of professional experience within the related field
• Degree in Software Engineering, Computer Science, or a related field
• Experience with Python, Go, Scala or Java and strong appetite to learn other programming languages.
• Good working knowledge in 3 or more of the following: Airflow, Spark, relational databases (ideally MySQL), Kubernetes, Starrocks, Trino, and backend API implementation
• Experience with AWS services (S3, EKS, IAM) and infrastructure as code tools like Terraform.
• Proficiency in CI/CD tools (Jenkins, GitLab, etc.)

Additional Information

Life at Grab

We care about your well-being at Grab, here are some of the global benefits we offer:

• We have your back with Term Life Insurance and comprehensive Medical Insurance.
• With GrabFlex, create a benefits package that suits your needs and aspirations.
• Celebrate moments that matter in life with loved ones through Parental and Birthday leave, and give back to your communities through Love-all-Serve-all (LASA) volunteering leave
• We have a confidential Grabber Assistance Programme to guide and uplift you and your loved ones through life's challenges.
• Balancing personal commitments and life's demands are made easier with our FlexWork arrangements such as differentiated hours

What We Stand For At Grab

We are committed to building an inclusive and equitable workplace that provides equal opportunity for Grabbers to grow and perform at their best. We consider all candidates fairly and equally regardless of nationality, ethnicity, race, religion, age, gender, family commitments, physical and mental impairments or disabilities, and other attributes that make them unique.