Data Engineer (User Trust)
Grab
Singapore
4d ago

We are Grabbing the job detail for you

Get to know our Team :

  • Fueled by one of the largest data sets of its kind in the region, we work on some of the most challenging and fascinating technology problems available right now.
  • From increasing the accuracy of our ETA estimates by inferring real time traffic patterns to delivering real time insight to drivers and our operating teams on the ground -
  • we use big data to help change the way 630 million people move around South East Asia.

    Get to know the Role :

  • Build, deploy and manage big data solutions that can adequately handle the needs of a rapidly growing data driven company.
  • Streamline data access and security to enable data scientists and analysts to easily access to data whenever they need.
  • Build out scalable and reliable ETL pipelines and processes to ingest data from a large number and variety of data sources.
  • Maintain and optimize the performance of our data analytics infrastructure to ensure accurate, reliable and timely delivery of key insights for decision making.
  • The day-to-day activities :

    Duties include designing and developing internal tools, automating application builds and deployments, and keeping our existing tools and services up and running.

    Build end-to-end, high-performance, robust and scalable data processing systems.

    Gather and transform data from multiple data sources for building machine learning models, report generation and visualization.

    Collaborate with others on high impact data projects.

    The must haves :

    Experience working with either a MapReduce (Hadoop or Spark) or a MPP system on any size / scale, and architecture and building data intensive applications and pipelines.

    Fluent in at least one JVM language (Java / Scala / Clojure) and one scripting language (Python preferred).

    Ability to write well-abstracted, reusable code components

    Ability to work with varied forms of logging / messaging systems (Kafka, Flume, RabbitMQ).

    Experience with Cloud Computing (e.g. AWS, GCP).

    Experience in scheduling frameworks such as Airflow or Luigi.

    Passion for building tools and automating everything.

    Very strong communication skills and ability to work collaboratively with peers and stakeholders in various time zones.

    Really nice to haves :

    Good understanding of the fraud space with hands-on knowledge of fraud, payments and risk, especially on tech products

    Applied machine learning experience and deployment of machine learning model in production

    Get to know Grab :

    Grab is more than just the leading ride-hailing and mobile payments platform in Southeast Asia. We use data and technology to improve everything from transportation to payments and financial services across a region of more than 620 million people.

    We work with governments, drivers, passengers, merchants, and the community, to solve critical problems in Southeast Asia.

    Grab began as a taxi-hailing app in 2012, but we have since extended our product platform to include GrabCar, GrabShare, GrabBike, GrabHitch, GrabExpress, GrabFood, GrabCoach, GrabShuttle, GrabCycle.

    We recently launched our fintech platform GrabFinancial, which consists of payments, lending and insurance. Our latest addition is GrabVentures, an in-

    house incubation platform. We are focused on pioneering new commuting and payment alternatives for drivers and passengers with an emphasis on convenience, safety, and reliability.

    Currently, we offer services in 8 countries. Our R&D offices are in Singapore, Seattle, Beijing, Bangalore, Jakarta and Vietnam.

    We aspire to unlock the true potential of Southeast Asia and look for like-minded individuals to join us on this ride.

    If you share our vision of driving South East Asia forward, apply to join our team today.

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