Data Engineer (User Trust)

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