Senior Data Engineer

Singapore, Singapore

Grab

Grab is Southeast Asia’s leading superapp. It provides everyday services like Deliveries, Mobility, Financial Services, and More.

View company page

Company Description

Grab is Southeast Asia's leading superapp. We are dedicated to improving the lives of millions of users across the region by providing them everyday services such as deliveries, mobility, financial services, enterprise services and others. More than that, we provide the opportunity for them to have a better life. And that aspiration starts inside Grab because we believe in a seamless blend of work and home life, making every aspect of life better for all.

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—we work to create economic empowerment for the people of Southeast Asia. With our unwavering commitment to our values, we believe that we're more than a service provider; we're agents of positive change.

Job Description

Get to know the Team:

Grab has been growing rapidly and expanding into multiple lines of businesses over the past few years. Grab Data Warehouse team is responsible for developing business intelligence systems using data from all lines of businesses in order to provide business insights to key stakeholders across the company.

Get to know the role:

Our team is now looking for experienced data engineers to design and enhance our data warehouse systems. The Data Engineer plays a key role within the data warehouse team in developing the data warehouse systems, working closely with stakeholders from multiple lines of business (LOBs).

Day to day responsibilities for Data Engineer includes but is not limited to:

  • Participate in all aspects of developing a data warehouse system. Design, develop, test, deploy and support scalable and flexible data warehouse system that can integrate with multiple LOBs
  • Liaison with Product, Business, Design and Engineering stakeholders to define and review technical specifications
  • Design and implement scripts, ETL jobs, data models, etc.
  • Provide horizontal, organization-wide visibility through metric measurements and insights regionally across different functions and teams
  • Develop and uphold best practices with respect to change management, documentation and data protocols
  • Identify system and application metrics, develop dashboards and setup alerts for metrics and thresholds
  • Participate in technical and product discussions, code reviews, and on-call support activities

Qualifications

The Must-haves

  • Bachelor degree in Analytics, Data Science, Mathematics, Computer Science, Information Systems, Computer Engineering, or a related technical field
  • At least 3-4 years of experience developing Data warehouse and Business Intelligence solutions
  • Sound knowledge of data warehousing concepts , data modeling/architecture and SQL
  • Ability to work in a fast-paced agile development environment
  • Knowledge of programming languages such as Java, Scala, Python, etc.
  • Understanding of performance, scalability and reliability concepts
  • Experience with Big Data frameworks such as Hadoop, Spark, etc.
  • Experience with developing data solutions on AWS
  • Ability to drive initiatives and work independently, while being a team player who can liaison with various stakeholders across the organization
  • Excellent written and verbal communication skills in English

The Nice-to-haves

  • Experience with performance tuning & query optimization of data warehouse systems
  • Experience with Graph DB
  • Experience with Stream processing technologies such as Kafka, Spark streams, etc.

Additional Information

Benefits at Grab:

We care deeply about your well-being and are committed to supporting you every step of the way. Here are some of the global benefits we offer:

  • Protect and provide for your loved ones with peace of mind, knowing we have your back with Term Life Insurance and comprehensive Medical Insurance.
  • Craft a benefits package that suits your unique needs and aspirations with GrabFlex, because we believe in empowering you to thrive.
  • Embrace the magic of new life and create lasting memories with your family through Maternity and Paternity Leave.
  • Life can be overwhelming, but you're never alone. Our confidential Grabber Assistance Programme is here to guide and uplift you and your loved ones through life's challenges.
  • Your well-being is our priority. Benefit from our holistic well-being initiatives through Wellbeing@Grab, including health programmes, informative webinars, and vibrant carnivals.
  • Achieve a harmonious work-life balance with our FlexWork arrangements, allowing you to adapt and thrive in your personal and professional life.

We've got many different benefits hyper localised in each country. Speak to your recruiter during your interview to find out more.

What we stand for at Grab:

We are committed to building an inclusive and equitable workplace that enables diverse Grabbers to grow and perform at their best. As an equal opportunity employer, we consider all candidates fairly and equally regardless of nationality, ethnicity, religion, age, gender identity, sexual orientation, family commitments, physical and mental impairments or disabilities, and other attributes that make them unique. If you require accommodations to fully participate in the recruitment process, you are encouraged to include your request(s) when applying.

We deliver the greatest impact and ideas when we bring together diverse perspectives. It is what enables us to spread opportunities to Grabbers and our partners. It's not a box-ticking exercise; it's who we are.

Apply now Apply later
  • Share this job via
  • or

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Job stats:  1  0  0
Category: Engineering Jobs

Tags: Agile Architecture AWS Big Data Business Intelligence Computer Science Data warehouse Data Warehousing Engineering ETL Hadoop Java Kafka Mathematics Python Scala Spark SQL

Perks/benefits: Career development Flex hours Health care Medical leave Parental leave Team events

Region: Asia/Pacific
Country: Singapore

More jobs like this

Explore more AI, ML, Data Science career opportunities

Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.