Lead Data Engineer

Posted 2 Days Ago
Be an Early Applicant
Singapore
Senior level
Mobile • Software
The Role
The Lead Data Engineer will design, develop, and enhance data warehouse systems, leading a team of data engineers. Responsibilities include system development, collaborating with stakeholders, implementing scalable ETL jobs, and engaging in technical discussions.
Summary Generated by Built In

Company Description

About Grab and our workplace

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:

We are seeking a seasoned Lead Data Engineer to spearhead the design and enhancement of our data warehouse systems. The Lead Data Engineer is a pivotal figure within the data warehouse team, driving the development of data warehouse systems and collaborating closely with stakeholders from multiple lines of business (LOBs).

The day-to-day activities:

  • Lead all aspects of data warehouse system development, including technical design, development, testing, deployment, and support, ensuring scalability and flexibility to integrate with multiple LOBs.
  • Act as the primary liaison with Product, Business and Engineering stakeholders to define and review technical specifications.
  • Guide team members consisting of data engineers to design and implement scalable ETL jobs, data models, scripts and data assets.
  • Promote horizontal, organization-wide visibility through regionally metric measurements and insights across different business functions and teams.
  • Establish and maintain best practices for change management, documentation, and data protocols.
  • Identify system and application metrics, develop dashboards and monitoring for system metrics and thresholds.
  • Engage in technical and product discussions, code reviews, and solutioning.

Qualifications

The Must-haves

  • Bachelor degree in Analytics, Data Science, Mathematics, Computer Science, Information Systems, Computer Engineering, or a related technical field.
  • At least 6-7 years of experience developing Data Warehouses or Business Intelligence solutions.
  • Proven experience leading a team and making sound and scalable technical decisions.
  • Deep understanding of data warehousing, data modeling, data architecture, and big data concepts.
  • Deep experience with Big Data frameworks such as Spark, Airflow, Hive, Flink, Kafka etc.
  • Comprehensive understanding of performance, scalability, and reliability concepts.
  • Proficiency in programming languages such as Python, Scala or SQL.
  • Experience with developing end-to-end data solutions on AWS.
  • Excellent written and verbal communication skills in English.

The Nice-to-haves

  • Experience with design, performance tuning or query optimization of big data warehouse systems.
  • Experience with Stream processing technologies such as Kafka, Spark streaming, etc.
  • Experience with common frameworks and warehousing concepts, batch or streaming processing.
  • Experience working closely with Analytics stakeholders in Artificial Intelligence or Data Science space.

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.

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.

Top Skills

Python
Scala
SQL
The Company
Houston, Texas
73 Employees
On-site Workplace

What We Do

Grab is a platform that unlocks the travelers’ access to all airport dining and retail opportunities.

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