# Lead Data Engineer, Metrics Platform

**Company**: Grab
**Location**: Petaling Jaya
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology

**Apply**: https://jobs.smartrecruiters.com/Grab/744000156249489-lead-data-engineer-metrics-platform?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_a2cfa7a2-853

## Description

Grab is Southeast Asia's leading superapp, providing various services such as food delivery, financial management, and transportation.

The Metrics Platform team is a part of Grab's Data Technology organization, building a central platform for metrics that enables Grabbers to define, serve, discover, and consume trusted business and product metrics at scale.

As a Lead Data Engineer in the Metrics Platform team, you will play a crucial role in designing, building, and operating Grab's metrics platform across metric serving, ingestion, metadata, query generation, platform APIs, and several cross-platform integrations.

Responsibilities:

- Lead major platform initiatives that help teams model, publish, discover, and consume trusted metrics and data products across Grab.

- Shape technical direction with the engineering manager and team, balancing user needs, reliability, scalability, cost, and delivery constraints.

- Design and implement platform services, APIs, metadata systems, query generation, and tooling, establishing patterns that other engineers can extend and operate.

- Turn ambiguous requirements into clear technical designs and delivery plans, coordinating dependencies and rollout decisions across teams.

- Lead technical collaboration with engineering, analytics, and data science teams to onboard use cases and establish reusable integration patterns.

- Strengthen engineering standards through design and code reviews, mentoring, testing practices, documentation, and self-serve workflows.

- Guide the operation and evolution of metrics serving infrastructure, including Apache Pinot, StarRocks, data ingestion systems and pipelines, and related cloud services.

- Lead investigations into reliability, performance, and correctness issues, driving improvements that prevent recurrence.

- Guide responsible use of AI-powered tools, ensuring generated code, queries, and outputs meet engineering and data quality standards.

- Use AI-powered coding, analytics, and data engineering tools responsibly to accelerate development, debugging, documentation, testing, and data investigation.

Qualifications:

- Bachelor's degree or higher in Computer Science, Information Technology, Data Science, Analytics, Engineering, or a related technical field.

- 5+ years of experience in data engineering, software engineering, or platform engineering, with demonstrated technical leadership of complex production systems.

- Strong proficiency in at least one programming language such as Go, Python, Scala, Rust, or Java.

- Experience designing and operating APIs, services, metadata systems, automation, tests, and monitoring.

- Experience designing ETL/ELT pipelines, data models, analytical storage systems, and data quality processes.

- Ability to evaluate architectural trade-offs across correctness, reliability, performance, scalability, maintainability, and cost.

- A track record of leading initiatives across teams, resolving technical ambiguity, and taking systems through rollout and production operations.

- Ability to mentor engineers, explain technical decisions clearly, and build agreement with stakeholders.

Benefits:

- Term Life Insurance and comprehensive Medical Insurance.

- GrabFlex, a benefits package that suits your needs and aspirations.

- Parental and Birthday leave, and Love-all-Serve-all (LASA) volunteering leave.

- Confidential Grabber Assistance Programme.

- FlexWork arrangements such as differentiated hours.

## Skills

### Required
- data engineering
- software engineering
- platform engineering
- Go
- Python
- Scala
- Rust
- Java
- API design
- metadata systems
- ETL/ELT pipelines
- data models
- analytical storage systems
- data quality processes

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Source: [Apply at jobs.smartrecruiters.com](https://jobs.smartrecruiters.com/Grab/744000156249489-lead-data-engineer-metrics-platform?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)