Principal Data Engineer
HCMC, Vietnam
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Grab
Grab is Southeast Asia’s leading superapp. It provides everyday services like Deliveries, Mobility, Financial Services, and More.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 Tech is enabling everyday opportunities through big data innovation in Southeast Asia. Caspian (Grab's Data Engineering Platform Team) aims to make it easy to use Data Lake by developing efficient tools and technologies for data producers and customers to identify everyday opportunities through big data innovation.
Get to Know the Role
As a Principal Data Engineer in Grab's Data Engineering Platform, you will play a pivotal role in designing, building, and optimizing scalable data systems that empower Grab's data-driven decision-making. You will lead technical initiatives, mentor engineers, and collaborate across teams to ensure the reliability, efficiency, and innovation of Grab's data infrastructure. You will report to Feng Cheng, Head of Engineering, Data Engineering Platforms and work onsite at Grab office, CMC Creative Space, District 7, HCMC.
The Critical Tasks You Will Perform
- Technical Leadership:
- Lead the design and implementation of complex data pipelines and systems, ensuring scalability, reliability, and performance.
- Drive the adoption of best practices in data engineering, including coding standards, system design, and data architecture.
- Act as a subject matter expert in data engineering, providing technical guidance and mentorship to team members.
- System Design and Architecture:
- Develop and maintain the architecture for Grab's data platforms, including Bronze, Silver, and Gold layers, as per the Medallion Architecture principles.
- Collaborate with cross-functional teams to define data contracts and ensure seamless integration across systems.
- Optimize data storage, processing, and retrieval mechanisms to support business needs.
- Innovation and Problem Solving:
- Identify opportunities for improving data infrastructure and propose innovative solutions.
- Experiment with emerging technologies and tools to enhance data engineering capabilities.
- Lead initiatives to address data reliability and reusability challenges within Grab's ecosystem.
- Operational Excellence:
- Implement automation for data validation, testing, and deployment (CI/CD for data pipelines).
- Ensure adherence to non-functional requirements such as scalability, reliability, and security.
- Monitor and troubleshoot data systems to maintain high availability and performance.
- Collaboration and Stakeholder Management:
- Partner with upstream data producers and downstream data consumers to define clear data contracts and SLAs.
- Work closely with engineering managers, product teams, and other stakeholders to align technical solutions with business goals.
- Represent the team in technical discussions and advocate for data-first culture within Grab.
Qualifications
What Essential Skills You Will Need
- More than 6 years experience in the Data Engineering industry
- Proven experience in designing and implementing large-scale data systems.
- Expertise in data modeling, optimization, and governance.
- Strong programming skills in languages such as Python, Java, or Scala.
- Proficiency in big data technologies like Spark, Trino, Flink, and cloud platforms (e.g., AWS, GCP).
- Familiarity with data observability tools and frameworks.
- A passion for mentoring and developing engineering talent.
Advantage:
- Experience with Medallion Architecture and Data Modelling principles.
- Knowledge of advanced data engineering concepts, such as data mesh and federated data ownership.
- Exposure to AI and machine learning applications in data engineering.
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 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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture AWS Big Data CI/CD Data pipelines Engineering Flink GCP Java Machine Learning Pipelines Python Scala Security Spark Testing
Perks/benefits: Career development Medical leave Parental leave
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