Lead Data Engineer

Get to Know the Team
We maintain Grab&039;s data infrastructure, a dependable and economical platform that supports internal data processes and company- wide data lake access. This includes managing compute systems such as Apache Spark, Trino, and Starrocks, scheduling via Airflow, and an AWS S3- based storage layer. Our storage solutions utilize modern open- source formats like Apache Iceberg and Delta, in addition to traditional Apache Hive Parquet tables.
We simplify data operations for internal users by providing managed Spark, Starrocks, Trino, and Airflow services. Furthermore, our team collaborates with Grab&039;s Data Catalog team to offer self- service datalake capabilities powered by Datahub. We also partner closely with Grab&039;s AI platforms, ensuring a smooth experience for users in their AI development.
Get to Know the Role
You will support the mission by maintaining and extending the platform capabilities through implementation of new features and continuous improvements. You will also explore new developments in the space and bring them to our platform there by helping the data community at Grab. You will work onsite in Grab Vietnam office, CMC Creative Space, D7, HCMC and report to Data Engineering Manager, who is based in Singapore.
The Critical Tasks You Will Perform

You will build platforms that can scale to the 3 Vs of Big Data (Volume, Velocity, Variety)
You will build, modify and extend Python/Scala Spark applications and Airflow pipelines for better performance, reliability, and cost.
You will follow various testing best practices and SRE best practices to ensure system stability and reliability.
You will maintain and extend the Python/Go/Scala backend for Grab&039;s Airflow, Spark, Trino and Starrocks platform
You will design and implement architectural improvements for new use cases or efficiency.

Yêu cầu công việc

What Essential Skills You Will Need

Good working knowledge in 3 or more of the following: Airflow, Spark, relational databases (ideally MySQL), Kubernetes, Starrocks, Trino, and backend API implementation and being passionate about learning the others.
You are to intelligently utilize available AI resources at Grab.
Software Engineering, Computer Science, or related undergraduate degree. Proficient in at least one of the following: Python, Go, or Scala and strong appetite to learn other programming languages.
Experience with AWS services (S3, EKS, IAM) and infrastructure as code tools like Terraform.
Proficiency in CI/CD tools (Jenkins, GitLab, etc.)
You have 5 or more years of relevant professional experience

Skills that are Good to have

Advanced knowledge of AWS Cloud
Proficient in Apache Spark, with good knowledge of resource managers like Yarn, Kubernetes and how spark interacts and work with them
Advanced understanding of Apache Airflow and its working with Celery and/or Kubernetes executor backend with exposure to Python SQLAlchemy framework.
Good understanding of lakehouse table formats like Iceberg and Delta lake, how query engines work with it.
Proficient in Kubernetes with hands of experience with building custom resources using frameworks like kubebuilder.
Advanced knowledge of other query engines like Trino, Starrocks and others

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.
We have a confidential Grabber Assistance Programme to guide and uplift you and your loved ones through life&039;s challenges.
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

What we stand for at Grab
We are committed to building an inclusive and equitable workplace that enables diverse Grabbers to grow and perform at their best. As an equal opportunity employer, we consider all candidates fairly and equally regardless of nationality, ethnicity, religion, age, gender identity, sexual orientation, family commitments, physical and mental impairments or disabilities, and other attributes that make them unique.

Cập nhật gần nhất lúc: 2025-08-16 19:30:02