KaiOS is a mobile operating system for smart feature phones that stormed the scene to become the 3rd largest mobile OS globally (2nd in India ahead of iOS). We are on 100M+ devices in 100+ countries. We recently closed a Series B round with Cathay Innovation, Google and TCL.

We are looking for an experienced big data engineer for our Hong Kong-based data technology team to work as part of an agile team alongside data scientists, data analysts, software and DevOps engineers. The team is in charge of all data products and data infrastructure at KaiOS. Much of our data is event-based from a variety of rich data streams, such as Kai app store and our own real-time advertising tech stack (built by another Hong Kong-based team under the same roof). We strive to distill the data trail from millions of users’ interactions with our platform into a progressively enhanced and robust analytical picture in the key areas of business. We also build and operate data and machine learning-powered APIs.

What we are looking for:

• Breadth and depth of knowledge and experience with data technology at scale
• Extensive experience with a variety of databases, including modern non-relational data technology and understanding of underlying design choices, trade-offs, sweet spots and internal workings
• Experience building scalable and reliable data pipelines
• Knowledge of data formats and associated tradeoffs
• Experience with streaming data processing a plus
• Extensive experience with test automation, CI / CD
• Extensive experience with modern version control systems, such as Git
• Experience designing and developing REST or GraphQL APIs a plus
• Experience working in cross-functional delivery-focused agile teams
• Extensive experience with iterative development
• Outstanding analytical thinking, problem solving skills and attention to detail
• Excellent verbal and written communication skills

Requirements:

• Engineering background and academic qualifications
• Fluency in Python or Scala; shell scripting; Golang a plus
• In-depth knowledge and fluency with SQL
• Experience with data modeling
• Extensive experience with AWS, including services such as EMR/Spark, Kinesis, RedShift, RDS, DynamoDB, Athena, Glue, Lambda, CloudWatch, IAM, etc. Infrastructure tooling and automation a plus.

We offer attractive salary and fringe benefit. Interested parties please apply with your full resume stating present and expected salary to Human Resources Manager via email by clicking "Apply Now".

For more information, please visit our website at www.kaiostech.com/

All information provided will be treated in strict confidence and used solely for recruitment purposes.