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 infrastructure
- Lead and scale up the reporting automation effort
- Collaborating with data analysts, data scientists, and other stakeholders to identify data needs and develop solutions to meet those needs
- Participating in code (query) reviews: Reviewing the code produced by other team members and providing constructive feedback to improve the overall quality of the codebase
- Design data models that can be used to quickly extract high-quality insights
- Control the data access across the organization
- Manage a team of data engineers
**Requirements**:
- Experience leading or acting as Senior team member of automation, machine learning, and/or data engineering-related projects
- More 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/CD
- Advanced experience with data modeling techniques and tools such as ER diagrams, data flow diagrams, and dimensional modeling
- Experience with agile development methodologies, DevOps practices, and CI/CD pipelines
- Expertise in database management systems such as MySQL, Oracle, or PostgreSQL, as well as NoSQL databases such as MongoDB, Cassandra, and DynamoDB
- Adapt quickly to change in requirements and be willing to work with different technologies if required
**Personal Traits**:
- Strong problem-solving skills
- Strong resolve on tackling challenging and uncertain problems
- Strong communication and collaboration skills, with the ability to work effectively with both technical and non-technical stakeholders
- Leadership 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 business