GR

Grab · api.smartrecruiters.com · checked today

Lead Data Infrastructure Engineer

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.

Skills, with evidence

• Airflow / orchestration
  Workflow orchestration at production scale (Airflow, Dagster, Argo Workflows or similar).must havewrong?
• Data quality
  Demonstrated ownership of data quality: validation frameworks, data contracts, tests, and alerting on the data itself — not only on job success.must havewrong?
• Python
  Strong Python and SQL, with the ability to write production-grade data services rather than one-off scripts.must havewrong?
• SQL
  Strong Python and SQL, with the ability to write production-grade data services rather than one-off scripts.must havewrong?
• Spark
  Hands-on experience building and operating both batch and streaming pipelines (Spark, Flink, Kafka or equivalents).must havewrong?
• Warehousing
  Data warehouse and lakehouse experience: open table formats (Iceberg, Delta, Hudi), partitioning strategy, and query engines (Presto/Trino, Spark SQL, BigQuery or equivalent).must havewrong?
• AWS
  Cloud engineering on Alibaba Cloud (Aliyun) and/or AWS, including object storage at scale, with Terraform as the primary IaC tool.must have · not practised herewrong?
• Kubernetes
  Docker and Kubernetes for building and running data workloads.must have · not practised herewrong?
• Terraform
  Cloud engineering on Alibaba Cloud (Aliyun) and/or AWS, including object storage at scale, with Terraform as the primary IaC tool.must have · not practised herewrong?
• Cost & performance
  Build observability for the pipelines themselves: throughput, lag, cost, failure modes and clear on-call signals.wrong?
• Failure handling
  You will own the pipelines that move it, the validation and monitoring that prove it is trustworthy, the dashboards that engineering, operations and data science work from, and the integration of our robotics data and ML workloads onto Grab's existing data and ML platforms, so the team inherits Grab-scale tooling instead of rebuilding it.wrong?
• Dashboards & BI
  You will own the pipelines that move it, the validation and monitoring that prove it is trustworthy, the dashboards that engineering, operations and data science work from, and the integration of our robotics data and ML workloads onto Grab's existing data and ML platforms, so the team inherits Grab-scale tooling instead of rebuilding it.not practised herewrong?
• Streaming
  Design, build and operate batch and streaming pipelines for robot telemetry, sensor recordings, autonomy events and operational data.wrong?
• Schema evolution & contracts
  Demonstrated ownership of data quality: validation frameworks, data contracts, tests, and alerting on the data itself — not only on job success.wrong?