Staff Software Engineer (Data Analytics Platform)

Posted 14 Days Ago
Be an Early Applicant
Hyderabad, Telangana
Expert/Leader
eCommerce • Logistics
The Role
As a Staff Software Engineer, you will design and develop data infrastructure using modern Lakehouse architecture, lead architectural decisions, and collaborate with stakeholders to deliver scalable data solutions. You'll also foster a data-driven culture and ensure robust data governance, while leading a small team of data engineers.
Summary Generated by Built In

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


Submit a job application

By applying to the job, you acknowledge that you have read, understood and agreed to our Privacy Policy Notice (the “Notice”) and consent to the collection, use and/or disclosure of your personal data by Ninja Logistics Pte Ltd (the “Company”) for the purposes set out in the Notice. In the event that your job application or personal data was received from any third party pursuant to the purposes set out in the Notice, you warrant that such third party has been duly authorised by you to disclose your personal data to us for the purposes set out in the the Notice. 

Top Skills

C#
Go
Java
JavaScript
Node.js
Python
SQL
The Company
4,902 Employees
On-site Workplace
Year Founded: 2014

What We Do

Ninja Van Group is a tech-enabled logistics organisation, backed by marquee investors including GeoPost, Alibaba Group, and B Capital Group. Launched in 2014 as an e-commerce express logistics company, it reached 100% network coverage by 2018 with over 2,000 stations and hubs across Southeast Asia. Today, around two million parcels course through its network daily. A decade of operations fortified Ninja Van Group’s e-commerce express network, enabling concurrent diversification across the realms of e-commerce and express logistics. To maximise its scale in e-commerce, Ninja Van Group offers a comprehensive suite of solutions – from digital to full-funnel marketing – to help shippers sell better. As a springboard for expansion beyond e-commerce, Ninja Van Group's e-commerce express network lays the groundwork for venturing into other express verticals, including business-to-business inventory restocking and cold chain.

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