Senior Data Engineer, Metrics Platform

Get to Know the Team

The Metrics Platform team is a team within Grabs Data Technology organization with members across Singapore Indonesia Thailand Vietnam and Malaysia. We build the central platform for metrics that enables Grabbers across the company to define serve discover and consume trusted business and product metrics at scale. Our platform is an important foundational layer for Grabs AI-powered data ecosystem. By making metrics reliable reusable discoverable and served across teams we help power better analytics experimentation automation and AI-assisted data workflows across Grab.

Get to Know the Role

The Senior Data Engineer role in the Metrics Platform team is a hybrid data and software engineering role. You will be an important member of the team that designs builds and operates Grabs metrics platform across metric serving ingestion metadata query generation platform APIs and several cross platform integrations. You will be responsible from technical design and implementation to rollout and production operations. You will contribute hands-on while guiding engineering quality through design reviews operational improvements and collaboration with partner teams.

You will report to the Senior Data Engineering Manager and will be based onsite at our office in Petaling Jaya.

The Critical Tasks You Will Perform

• You will build platform capabilities that help teams model publish discover and consume trusted metrics and data products across Grab.
• You will develop and improve platform services APIs metadata systems query generation and tooling used by metrics publishers and consumers.
• You will collaborate with engineering analytics and data science teams to onboard new use cases and integrate their systems with the metrics platform.
• You will improve the developer and data practitioner experience by building self-serve workflows automation documentation and operational tooling.
• You will operate and optimize the core metrics serving infrastructure including Apache Pinot ingestion systems and related cloud services.
• You will investigate and resolve platform reliability performance and correctness issues across the request query metadata and serving layers.
• You will provide technical guidance to engineers and partner teams on platform design data modeling integration patterns and operational best practices.
• You will use AI-powered coding analytics and data engineering tools responsibly to accelerate development debugging documentation testing and data investigation.

Qualifications :

What Essential Skills You Will Need

• Bachelors degree or higher in Computer Science Information Technology Data Science Analytics Engineering or a related technical field.
• 4 years of experience in data engineering software engineering or platform engineering roles with experience building production-grade systems.
• 4 years of proficiency in at least one programming language such as Go Python Scala or Java.
• Some Experience building APIs services automation tests monitoring and reliable production systems.
• Some Experience designing and implementing ETL/ELT pipelines data models data warehouses and data quality processes.

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 lifes challenges.
• Balancing personal commitments and lifes 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.

Remote Work :

No

Employment Type :

Full-time