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WANTED! Data Engineer | Join our diverse team of software engineers TODAY!

Data Engineer
Full-time

on 2018-10-05

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27 requested to visit

WANTED! Data Engineer | Join our diverse team of software engineers TODAY!

Full-time
Full-time

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What we do

Grab is one of Southeast Asia’s leading superapp that provides everyday services such as mobility, deliveries (food, packages, groceries), mobile payments and financial services to millions of Southeast Asians. Grab aims to use technology to empower its communities and elevate the quality of life for everyone.

Why we do

Mission 1. Trust that you will have a safe ride Travel with confidence knowing that Grab’s top priority is your safety. From driver safety training and vehicle safety checks, to personal accident insurance coverage for all our drivers and passengers and government partnerships to promote safety, you know we have your back. 2. Take the transport option that fits your need We put freedom in your hands. The most transport options, at every price point, with comfort, speed and affordability – you can have it all at the touch of a button. 3. Let us take care of you We believe that a sustainable business is one that improves the lives of the people it touches – passengers, drivers, employees, governments and society at large.

How we do

Life at Grab is all about positive disruption – and yes, crazy days are part of that package too. Still, that’s never stopped a Grabber from having fun. In fact, it’s what keeps us motivated to shake things up further. Life as a Grabber means succeeding in a culture of passion and innovation. We are hungry to make a difference, and recognise that good decisions often come from the heart. We are humbled by our communities, and are proud to serve them with honour. We come from all over the world, united by a common goal to make life better everyday for our users. If you share our mission of Driving Southeast Asia Forward, apply to be part of the team today!

As a new team member

Data Engineering runs the code, pipeline and infrastructure that extracts, processes and prepares every piece of data generated or consumed by Grab’s systems. As data in Grab never stops growing, this team also never stops, learning, innovating and expanding so that we can bring in or build the latest and best tools, technology to ensure the company’s continued success. Data Engineers in Grab get to work on one of the largest and fastest growing datasets of any company in South East Asia. We operate in a challenging, fast paced and ever changing environment that will push you to grow and learn. You will be doing.. - Involved in various areas of Grab’s Data Ecosystem including reporting & analytics, data infrastructure, and various other data services that are integral parts of Grab’s overall technical stack. - 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 RedShift, BigQuery, Greenplum,Presto and others We are looking for people with.. - 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 TBs) 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 products features that can be built on top of the results of data analysis Do you relish in technical leadership? Would you consider yourself an expert in your domain? If you enjoy collaboratively guiding companywide technology initiatives and principles, then this could be the role for you. Simply click on "Want to Visit" to apply.

What we do

Grab is one of Southeast Asia’s leading superapp that provides everyday services such as mobility, deliveries (food, packages, groceries), mobile payments and financial services to millions of Southeast Asians. Grab aims to use technology to empower its communities and elevate the quality of life for everyone.

Why we do

Mission 1. Trust that you will have a safe ride Travel with confidence knowing that Grab’s top priority is your safety. From driver safety training and vehicle safety checks, to personal accident insurance coverage for all our drivers and passengers and government partnerships to promote safety, you know we have your back. 2. Take the transport option that fits your need We put freedom in your hands. The most transport options, at every price point, with comfort, speed and affordability – you can have it all at the touch of a button. 3. Let us take care of you We believe that a sustainable business is one that improves the lives of the people it touches – passengers, drivers, employees, governments and society at large.

How we do

Life at Grab is all about positive disruption – and yes, crazy days are part of that package too. Still, that’s never stopped a Grabber from having fun. In fact, it’s what keeps us motivated to shake things up further. Life as a Grabber means succeeding in a culture of passion and innovation. We are hungry to make a difference, and recognise that good decisions often come from the heart. We are humbled by our communities, and are proud to serve them with honour. We come from all over the world, united by a common goal to make life better everyday for our users. If you share our mission of Driving Southeast Asia Forward, apply to be part of the team today!

As a new team member

Data Engineering runs the code, pipeline and infrastructure that extracts, processes and prepares every piece of data generated or consumed by Grab’s systems. As data in Grab never stops growing, this team also never stops, learning, innovating and expanding so that we can bring in or build the latest and best tools, technology to ensure the company’s continued success. Data Engineers in Grab get to work on one of the largest and fastest growing datasets of any company in South East Asia. We operate in a challenging, fast paced and ever changing environment that will push you to grow and learn. You will be doing.. - Involved in various areas of Grab’s Data Ecosystem including reporting & analytics, data infrastructure, and various other data services that are integral parts of Grab’s overall technical stack. - 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 RedShift, BigQuery, Greenplum,Presto and others We are looking for people with.. - 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 TBs) 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 products features that can be built on top of the results of data analysis Do you relish in technical leadership? Would you consider yourself an expert in your domain? If you enjoy collaboratively guiding companywide technology initiatives and principles, then this could be the role for you. Simply click on "Want to Visit" to apply.
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    What happens after you apply?

    1. ApplyClick "Want to Visit"
    2. Wait for a reply
    3. Set a date
    4. Meet up

    Company info

    Founded on 06/2012

    6,000 members