Job Description

Position Overview

• Location Type: Remote
• Employment Type: Permanent, Full-time
• Salary: Not specified

Ninja Van is a late-stage logtech startup disrupting the logistics industry with innovation and cutting-edge technology. Launched in 2014 in Singapore, we've grown rapidly to become one of Southeast Asia's largest and fastest-growing express logistics companies. We connect shippers and shoppers across Southeast Asia, delivering to 100 million customers with predictability, flexibility, and convenience.

About Ninja Van:

• Processes 250 million API requests and 3TB of data daily.
• Delivers 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 across all e-commerce segments.
• Raised more than US$500 million over five rounds.

We are looking for world-class talent to join our team, passionate about creating software that makes a difference. We value initiative, team-first mentality, personal responsibility, and tenacity in solving hard problems and meeting deadlines. As part of a small, lean team, you’ll have a direct impact on the company’s success.

Responsibilities

• Design, develop, and maintain Ninja Van’s infrastructure for data streaming, processing, and storage.
• Build tools to ensure effective maintenance and monitoring of the data infrastructure.
• Contribute to key architectural decisions for data pipelines and lead the implementation of major initiatives.
• Collaborate with stakeholders to deliver scalable and high-performance solutions for data requirements, including extraction, transformation, and loading (ETL) from diverse data sources.
• Enhance the team’s data capabilities by sharing knowledge, enforcing best practices, and promoting data-driven decision-making.
• Develop and enforce Ninja Van’s data retention policies and backup strategies, ensuring data is stored redundantly and securely.

Requirements

• Experience: 5+ years of experience in a similar role, with a proven track record of building scalable and high-performance data infrastructure.
• Skills:
  • Strong computer science fundamentals and excellent problem-solving skills.
  • Solid understanding of distributed computing principles.
  • Expert-level SQL knowledge and experience with both relational and NoSQL databases.
  • Advanced knowledge of Apache Kafka.
  • Hands-on experience with stream-processing systems (e.g., Storm, Spark Streaming).
  • Experience with Hadoop v2, HDFS, and MapReduce.
• Programming Languages: Python

Application Instructions

• (Application instructions are not provided in the job description.)