Data Engineer

Ninja Van is a late-stage logtech startup that is disrupting a massive industry with innovation and cutting edge technology. Launched 2014 in Singapore, we have grown rapidly to become one of Southeast Asia's largest and fastest-growing express logistics companies. Since our inception, we’ve delivered to 100 million different customers across the region with added predictability, flexibility and convenience. Join us in our mission to connect shippers and shoppers across Southeast Asia to a world of new possibilities.

More About Us

• We process 250 million API requests and 3TB of data every day.
• We deliver more than 2 million parcels every day.
• 100% network coverage with 2600+ hubs and stations in 6 SEA markets (Singapore, Malaysia, Indonesia, Thailand, Vietnam and Philippines), reaching 500 million consumers.
• 2 Million active shippers in all e-commerce segments, from the largest marketplaces to the individual social commerce sellers.
• Raised more than US$500 million over five rounds.
  
  

We are looking for world-class talent to join our crack team of engineers, product managers and designers. We want people who are passionate about creating software that makes a difference to the world. We like people who are brimming with ideas and who take initiative rather than wait to be told what to do. We prize team-first mentality, personal responsibility and tenacity to solve hard problems and meet deadlines. As part of a small and lean team, you will have a very direct impact on the success of the company.

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 needs, including reporting, data analysis, data science, and other production applications
• Develop and automate large-scale, high-performance data warehouse pipelines
• Monitor data warehouse usage and optimize performance and cost through data modelling best practices
• Maintain data warehouse documentation (data catalog) in collaboration with data analysts and data engineers
• Implement and manage data quality monitoring tools
• Contribute to data warehousing processes and standards to enhance team productivity and output quality
• Provide user administration, documentation, training materials, and end-user support
• Stay updated with the latest tools and technologies in data engineering and analytics
• Evaluate and recommend new tools and technologies for BI users
  
  

Requirements

• 2–4 years of experience in Data Analytics and Data Engineering
• Hands-on experience with: Data Modelling, SQL, Python, PySpark, Spark, Presto, Hive, Bash, Linux, Git, GCP, Airflow, and REST APIs
• Programming experience is a plus
• Strong competency in Analytics and Computational Modelling, Business Needs Analysis, Data Visualisation, and Stakeholder Management
• Bachelor’s degree in Computer Science, Engineering, Mathematics, or Statistics
  
  

If you are passionate about leveraging data to drive business impact and thrive in a collaborative, fast-paced environment, we would love to hear from you. Please apply if your tech stack aligns with the requirements of this role.

Tech Stack

Backend: Play (Java 8+), Golang, Node.js , Python, FastAPI

Frontend: AngularJS, ReactJS

Mobile: Android, Flutter, React Native

Cache: Hazelcast, Redis

Data storage: MySQL, TiDB, Elasticsearch, Delta Lake

Infrastructure monitoring: Prometheus, Grafana

Orchestrator: Kubernetes

Containerization: Docker, Containerd

Cloud Provider: GCP, AWS

Data pipelines: Apache Kafka, Spark Streaming, Maxwell/Debezium, PySpark, TiCDC

Workflow manager: Apache Airflow

Query engines: Apache Spark, Trino

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