Lead Data Engineer

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.

Job Description

Get to Know the Team

The Marketing Growth team drives data-driven strategies to accelerate marketing efforts and enhance customer engagement. We are a collaborative, team focused on building scalable solutions that empower decision-making across the organization.

Get to Know the Role

We are looking for a Lead Data Engineer to shape our data infrastructure and ensure advanced analytics for the Marketing Growth team. You have experience in data engineering, with a focus on designing and implementing scalable data pipelines. This role is critical to supporting our growing business, offering the opportunity to work with a creative team and contribute to the enhancement of marketing projects across Southeast Asia.

The Critical Tasks You Will Perform

• Design and Implement Pipelines: Lead the creation of data pipelines to transform data from multiple sources.
• Partner with data scientists and team members to understand data requirements and provide efficient solutions.
• Ensure Data Quality: Implement processes for data validation, testing, and monitoring to ensure accuracy and reliability.
• Oversee the maintenance and optimization of existing data pipelines, ensuring.
• Provide Technical Leadership: Mentor junior data engineers, encouraging a culture of learning and collaboration.
• Support Feature Development: Collaborate with platform teams to define feature requirements and support data migration efforts.

Qualifications

The Essential Skills You Will Need

• 5 years experience in data engineering roles, with a focus on designing and implementing scalable data pipelines.
• Proficiency in Python, Scala, or Java.
• Familiarity with big data technologies such as Apache Spark, Kafka, and Airflow.
• Experience with data modeling, ETL/ELT processes, and data warehousing concepts.
• Experience with real-time data processing architectures.
• Experience communicating updates and resolutions to customers and other partners, with teams.

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.

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, family commitments, physical and mental impairments or disabilities, and other attributes that make them unique.