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Lead Data Engineer, Data Warehouse Platform

Grab

Grab

Data Science
Petaling Jaya, Selangor, Malaysia
Posted 6+ months ago

Company Description

Life at Grab

At Grab, every Grabber is guided by The Grab Way, which spells out our mission, how we believe we can achieve it, and our operating principles - the 4Hs: Heart, Hunger, Honour and Humility. These principles guide and help us make decisions as we work to create economic empowerment for the people of Southeast Asia.

Job Description

Get to know the team

The People Data Warehouse (PDW) team is a young team responsible for providing the analytics data platform for Grab’s internal tools. We make an impact by providing a data foundation to improve Grabber and organizational decision making. Our team is made up of a group of humble individuals who are in pursuit of engineering excellence and continuous self improvement with a strong focus on impact creation through agile collaboration with our stakeholders. If you resonate with our team values & have deep technical skills in AWS or Redshift as a data engineer then you should join our team!

Get to know the job

We are on the lookout for an experienced Lead Data Engineer to spearhead our data warehouse team, currently utilizing a robust stack comprising Redshift, Airflow, and Fargate. As we embark on an ambitious journey to expand our capabilities to include an API and web application platform leveraging our Redshift data to deliver data driven auto adaptive processes, we need a lead engineer to guide the team through this transformative phase.

As our Lead Data Engineer, you will not only maintain the current data warehousing platform but also extend its capabilities to seamlessly integrate with our upcoming API and web application platform endeavors. Your expertise will be crucial in ensuring that our data remains accessible, reliable, and actionable across the organization.

The Day-to-Day Activities

  • You will be responsible for maintaining & extending our data ingestion framework written in Javascript, Python & SQL
  • You are required to create new ingestion and transformation pipelines
  • You are responsible for pipeline SLAs, performance tuning of the redshift cluster and setting up standards to ensure efficient execution of user queries.
  • You are responsible for security and privacy compliance of the data platform
  • You support the downstream analytics users to query and enrich the data sets.
  • You make an impact by following good software engineering and architecture practices to ensure the long term maintainability of our systems and guiding other engineers to do the same.
  • You will come up with new designs and architectures to expand the platform capabilities.
  • You will mentor and grow other engineers in the team

Qualifications

The Must-Haves

  • Minimum 5 years experience in Data Engineering & Software engineering roles
  • You have expertise in building data pipelines
  • You have experience working with Redshift & Airflow
  • You have expert level knowledge of Python & SQL
  • You are familiar with javascript
  • You are familiar with data modeling techniques
  • You are familiar with DevOps practices such as CI/CD pipelines, Terraform and container technologies
  • You are familiar with web application architectures and building APIs.
  • You are familiar with cyber security and data privacy principles and techniques
  • You have passion for engineering excellence
  • You are focused on delivering impact
  • You have a track record of mentoring and growing engineers
  • You enjoy leading a group of high performing engineers

Additional Information

Our Commitment

We recognize that with these individual attributes come different workplace challenges, and we will work with Grabbers to address them in our journey towards creating inclusion at Grab for all Grabbers.