Grab

Tóm tắt công việc

Get to know our Team:

When you're an engineer at Grab, you are part of the heart and soul of the company. Our passion is anchored in the work that we do, and this is reflected in the impact we make on millions of lives on a daily basis. Our team is empowered by creating amazing services and tools that serve millions of passengers, driving partners, and fellow grabbers.


Get to know the Role:

Be the owner of the most complex financial data service platform in the region with millions of transactions a day

Innovate and provide analytics products to internal and external customers

Define and build up Data Strategy for Vietnam for the next 3-5 years.

The day-to-day activities:

Build, deploy and manage big data solutions that can adequately handle the needs of a rapidly growing data driven company

Spearhead the development of systems, architectures, and platforms that can scale to the 3 Vs of Big data (Volume, Velocity, Variety)

Streamline data access and security to enable data scientists and analysts to easily access to data whenever they need to

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

Lead the movement cleaning and normalizing subsets of data of interest as preparatory step before deeper analysis by the data scientists

Run Modern high-performance analytical databases and computation engines like Spark, AWS Glue, Presto, AWS Athena, Synapse, and others

We care a great deal about code quality. We often go back and improve core parts of the codebase to make it better or more lean. We can do this because of great test coverage which will immediately sound the alarm when something goes wrong.

We ship on quality instead of on time. When a feature is ready we deploy it immediately to everyone or use an internal system to roll it out to a certain percentage of customers. Various teams deploy new code many times throughout the day.

What will you have at Grab (Vietnam):

1. Positive & Collaborative environment

Grabbers thrive in a corporate culture that values every team member's contribution towards our goal of improving lives.

2. Rocket fuel for careers

Grabbers experience hyper professional growth and all the challenges that entails. Grow your skills while working to solve real issues across the region.

3. Fun & dedicated family

Grabbers work hard and play hard. Our teams grow as one as they overcome challenges and have fun along the way.

4. Some of benefits are:

• MacBook is provided.
• Extra Medical Insurance.
• 14 days annual leaves, working Monday - Friday.
• Free drive with Grab (budget follow your level)
• Rewards on Grab for Grab Transport, Grab Mart, Grab Food
• Internal Mobility to regional: Singapore, Malaysia, Indonesia, China,...

Grab is Southeast Asia’s leading everyday everything app – providing transportation, logistics and financial services to millions of users across the region. Powered by heart and driven by technology, we aim to unlock the true potential of the region by solving the problems that hinder progress for our communities. If you share our vision of Driving Southeast Asia Forward, apply to join our team today.

The must haves:

A degree or higher in Computer Science, Electronics or Electrical Engineering, Software Engineering, Information Technology or other related technical disciplines.

Experience in handling large data sets (multiple PBs) and working with structured, unstructured and geographical datasets

Designed high-performance scalable infrastructure stacks for Big Data Analytics

Deep understanding of databases and best engineering practices - include handling and logging errors, monitoring the system, building human-fault-tolerant pipelines, understanding how to scale up, addressing continuous integration, knowledge of database administration, maintaining data cleaning and ensuring a deterministic pipeline

Real passion for data, new data technologies, and discovering new and interesting solutions to the company’s data needs

Excellent communication skills to communicate with the product development engineers to coordinate development of data pipelines, and or any new product features that can be built on top of the results of data analysis.