Staff Software Engineer (Data Analytics Platform)

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.

Roles & Responsibilities

• Design and develop a sophisticated data infrastructure for streaming, processing, and storage, aligned with a modern Lakehouse architecture.
• Build and maintain tools for effective data monitoring and management using best practices in data engineering.
• Lead key architectural decisions and implement significant data pipeline initiatives using the latest technologies.
• Collaborate with various stakeholders to deliver scalable and performant data solutions, supporting all aspects of data handling from extraction to loading.
• Promote knowledge sharing within the team, encouraging best practices for a data-driven culture.
• Ensure robust data governance and compliance with developed data retention, backup strategies, and secure storage solutions.
• Leading a team of 4-5 data engineers

Required Qualifications

• Bachelor’s or Master’s degree in Computer Science or related field from a top university.
• Over 8 years of experience in data infrastructure, with a proven track record in building scalable and high-performance data systems.
• Deep expertise in SQL and extensive experience with relational and NoSQL databases.
• Advanced proficiency in Apache Kafka, Hadoop ecosystem, and stream-processing systems like Spark Streaming.
• Familiarity with big data tools (Pig, Hive, Spark), data serialization frameworks (Protobuf, Thrift, Avro), and workflow management using Apache Airflow.
• Knowledge of data catalog tools such as Open Metadata and Unity Catalog is highly desirable.
• Experience with infrastructure as code (e.g., Terraform, Ansible) and CDC technologies (e.g., Maxwell, Debezium) is advantageous.

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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