Engineering Lead, Experimentation Platform

Get to know our Team:

Product Insights and Experimentation platform team runs the code, data pipelines and infrastructure that powers the collection and analysis of trillions of data points each month. We are a diverse team of software engineers that not only work to solve all kinds of data related problems faced by teams from all corners of Grab but also acts as the designers and strategic influencers on how to run experiments, rollouts and event tracking for the whole of grab.

Get to know the Role:

This is a hands on role with a platform that handles billions of events a day and used by all teams at Grab. We are seeking passionate software engineers who have experience with big data processing and ETL pipeline design with a plus if you have domain knowledge on designing/running experiments. You will have the opportunity to work on core backend service engineering, big data processing and participate in optimization and machine learning components as well. It is very important that our team members take initiatives to identify problems, and have the right mindset and skill sets to solve them.

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 product analysts to easily access to valuable data whenever they need to

• Build out scalable and reliable ETL pipelines and processes to ingest data from a number of different data sources in the most efficient and cost effective manner possible.

• Maintain and optimize the performance of our data analytics infrastructure to ensure accurate, reliable and timely delivery of key insights for decision making

• Run modern high performance analytical databases and computation engines like Spark, Presto, Hive and cutting edge open source contributions

• Design practical solutions in the domain of running concurrent experiments on different product features

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 TBs) and working with structured, unstructured and geographical datasets

• Designed high performance scalable infrastructure stacks for Big Data analytics and processing

• 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, platform products, and or any new products features that can be built on top of the results of data analysis