Senior Data Engineer

Company Description

About Grab and Our Workplace

Grab is Southeast Asia's leading superapp. From getting your favourite meals delivered to helping you manage your finances and getting around town hassle-free, we've got your back with everything. In Grab, purpose gives us joy and habits build excellence, while harnessing the power of Technology and AI to deliver the mission of driving Southeast Asia forward by economically empowering everyone, with heart, hunger, honour, and humility.

Job Description

Get to Know the Team

The Mobility team is an established team responsible for the ride-hailing module in the Grab app. We improve the core transport booking experience. We are made up of and diversified engineers. If you are looking for an opportunity to make it seamless and effortless for millions of users, then you should join our team!

Get to Know the Role

Data Engineers in Grab get to work on one of the largest and fastest growing datasets of any company in South East Asia. You will be involved in multiple areas of Grab's Data Ecosystem including reporting, data infrastructure, and several other data services that are important parts of Grab's overall technical stack. You will report to the Senior Engineering Manager and be based onsite in Petaling Jaya, Malaysia.

The Critical Tasks You Will Perform

• Develop Cutting-Edge Solutions: Contribute to all phases of developing a data warehouse system. From initial design to testing, deployment, and ongoing support, you'll create a scalable and system that effortlessly integrates with multiple lines of business (LOBs).
• Collaborate with Cross-Functional Teams: Work with our Product, Business, Design, and Engineering teams to define and refine technical specifications, ensuring our solutions meet the needs of stakeholders.
• Create Powerful Data Pipelines: Design and implement scripts, ETL jobs, and data models that capture and organize data.
• Drive Data-Driven Decisions: Provide organization-wide visibility with comprehensive metric measurements and insights, supporting teams across the region with relevant data.
• Champion Best Practices: Develop best practices for change management, documentation, and data protocols, ensuring consistency and reliability in our data processes.
• Enhance Monitoring and Reporting: Identify main system and application metrics, develop insightful dashboards, and set up alerts to monitor these metrics and thresholds.
  
  

Qualifications

What Essential Skills You Will Need

• Bachelor's degree in Analytics, Data Science, Mathematics, Computer Science, Information Systems, Computer Engineering, or a related technical field
• At least 5+ years of experience developing Data warehouse and Business Intelligence solutions
• Sound knowledge of data warehousing concepts , data modeling/architecture and SQL
• Knowledge of programming languages such as Java, Scala, Python.
• Understanding of performance, scalability and reliability concepts
• Experience with Big Data frameworks such as Hadoop, Spark.
• Experience developing data solutions on AWS
  
  

Additional Information

Life at Grab

We care about your well-being at Grab, here are some of the global benefits we offer:

• We have your back with Term Life Insurance and comprehensive Medical Insurance.
• With GrabFlex, create a benefits package that suits your needs and aspirations.
• Celebrate moments that matter in life with loved ones through Parental and Birthday leave, and give back to your communities through Love-all-Serve-all (LASA) volunteering leave
• We have a confidential Grabber Assistance Programme to guide and uplift you and your loved ones through life's challenges.
• Balancing personal commitments and life's demands are made easier with our FlexWork arrangements such as differentiated hours
  
  

What We Stand For At Grab

We are committed to building an inclusive and equitable workplace that provides equal opportunity for Grabbers to grow and perform at their best. We consider all candidates fairly and equally regardless of nationality, ethnicity, race, religion, age, gender, family commitments, physical and mental impairments or disabilities, and other attributes that make them unique.