Description
Grab is Southeast Asia's leading superapp, providing various services such as food delivery, financial management, and ride-hailing.
As a Senior Data Engineer, you'll shape how we get data from source to decision. You'll build and industrialize data pipelines across our layered data architecture, be the engineering point of contact for business needs, and help decide which technologies best serve the data our stakeholders depend on , reporting, dashboards, product analytics, and downstream data science use cases.
The Critical Tasks You Will Perform:
- Leverage large volumes of data from internal sources across the business
- Develop, maintain, and support production data pipelines (ETL, streaming, batch) using Python and SQL
- Act as the engineering point of contact for business stakeholders, gathering and assessing their data needs
- Ensure data architecture meets business and reporting requirements, including SLA commitments
- Recommend ways to deliver quality data more efficiently and identify opportunities to add value
- Run multiple concurrent pipeline projects and migrations from scoping through delivery
- Work closely with backend engineers on source-system migrations , re-pointing and validating data pipelines during active platform cutovers , to ensure no data loss or SLA breach
Why Join Us: You'll own the pipelines behind decision-making for a large-scale consumer platform , with direct influence over the technology choices, architecture, and data quality bar the business relies on.
QUALIFICATIONS: What Essential Skills You Will Need:
- 4+ years of experience in data engineering, building and operating production data pipelines at scale
- Strong hands-on Python and SQL skills
- Knowledge of Big Data technologies such as PySpark, Presto, and Airflow
- Solid understanding of ETL and layered data warehousing patterns
- Fluency in written and spoken English
- Ability to analyze, synthesize, and simplify complex data problems for varied audiences
- Demonstrated ability to work directly with business stakeholders to scope and deliver data solutions
- Strong communication skills , able to explain technical tradeoffs to non-technical stakeholders (analysts, product managers, business leads)
- Proven ability to prioritize and manage multiple concurrent projects, meeting deadlines without compromising data quality
- Comfortable working cross-functionally with backend/platform engineers to trace data lineage through service migrations
Life at Grab: We care about your well-being at Grab, here are some of the global benefits we offer:
- Term Life Insurance and comprehensive Medical Insurance
- 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
- Confidential Grabber Assistance Programme to guide and uplift you and your loved ones through life's challenges
- FlexWork arrangements such as differentiated hours