Data Engineer

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.

The Regional Data Analytics Engineer helps to maintain the data platform, including the enterprise data warehouse and BI tools, which is the primary interface through which users interact with data.

Responsibilities

• Collaborate with business users and data analysts to understand user requirements
• Design data models to meet critical product and business requirements, including reporting, data analysis, data science and other production applications
• Develop and automate large scale, high-performance data warehouse pipelines
• Monitor the usage of the data warehouse and optimise performance and cost through data modelling best practices
• Maintain data warehouse documentation (data catalog) in collaboration with data analysts and data engineers
• Implement data quality monitoring tools
• Contribute to data warehousing processes and standards to improve the productivity and quality of output for the data team
• Provide effective user administration, documentation, training materials and end user support
• Maintain up-to-date knowledge of latest tools and technologies
• Evaluate new tools and technologies for BI users
  
  

Requirements

• Bachelors' Degree in: Computer Science, Engineering, Mathematics or Statistics
• 2 - 4 years experience of experience in data analytics
• Experience in the following software: Data modelling, SQL, Python, PySpark, Spark, Presto, Hive, bash, Linux, Git, GCP, Airflow, REST API
• Experience in programming is a plus
• Competency in Analytics and Computational Modelling, Business Needs Analysis, Data Visualisation and Stakeholder Management
  
  

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