Ninja Van is a tech-enabled logistics company on a mission to provide hassle-free delivery services for businesses of all sizes across Southeast Asia. Launched in 2014, we started operations in Singapore and have become the region's largest and fastest growing last-mile logistics company, partnering with over 35,000 merchants and delivering more than 1,000 parcels every minute across six countries.
At our core, we are a technology company that is disrupting a massive industry with cutting-edge software and operational concepts. Powered by algorithm-based optimisation, dynamic routing, end-to-end tracking and a data-driven approach, we provide best-of-class delivery services that delight both the shippers and end customers. But we are just getting started! We have much room for improvement and many ideas that will further shape the industry.
Responsibilities
Lead the effort to build, implement, support, and monitor the data infrastructureLead and scale up the reporting automation effortCollaborating with data analysts, data scientists, and other stakeholders to identify data needs and develop solutions to meet those needsParticipating in code (query) reviews: Reviewing the code produced by other team members and providing constructive feedback to improve the overall quality of the codebaseDesign data models that can be used to quickly extract high-quality insightsControl the data access across the organizationManage a team of data engineersRequirements
Experience leading or acting as Senior team member of automation, machine learning, and/or data engineering-related projectsMore than 3-5 years of hands-on experience in SQL and Python (professional and non-professional experience)Good knowledge of data engineering concepts and tools such as ETL, data modeling, data warehouse, and CI/CDAdvanced experience with data modeling techniques and tools such as ER diagrams, data flow diagrams, and dimensional modelingExperience with agile development methodologies, DevOps practices, and CI/CD pipelinesExpertise in database management systems such as MySQL, Oracle, or PostgreSQL, as well as NoSQL databases such as MongoDB, Cassandra, and DynamoDBAdapt quickly to change in requirements and be willing to work with different technologies if requiredPersonal Traits
Strong problem-solving skillsStrong resolve on tackling challenging and uncertain problemsStrong communication and collaboration skills, with the ability to work effectively with both technical and non-technical stakeholdersLeadership skills, with the ability to mentor and manage junior and mid-level data engineers, as well as collaborate with other teams such as data science, product, and businessSubmit a job application
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