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Carousell is a consumer-to-consumer mobile marketplace.

Data Engineer
Job Description / Skills Required

Carousell is one of the world's largest and fastest growing mobile classifieds apps. Since our launch in May 2012, we've expanded into 19 major cities with over 158 million listings. As a team of passionate individuals working together to solve meaningful problems, we want to build products that make selling as easy as taking a photo and buying as simple as chatting to inspire every person in the world to start selling and buying so we can share possibilities.

Here at Carousell, our data & engineering teams work on a myriad of problem domains. You get to work with data generated by millions of buyers and sellers & converting them into actionable insights, for both our users and team. You will have the autonomy to lead and explore data science and engineering projects to solve key business problems, by working together with a core team of passionate data analysts, scientists and engineers. Every month, we host a range of meetups and talks on different topics, ranging from product hackdays to Data meetups and events!

We are now looking for Senior Data Engineers to join our Data team based in Singapore.

You will:

  • Build, maintain and scale efficient data infrastructure, ETL and reporting pipelines
  • Work with data scientists and machine learning engineers in getting ML and deep learning models to production ready
  • Investigate and research data quality and integrity from data sources
  • Develop and maintain analytics platform, business intelligence and experimentation tools
  • Develop and maintain scalable platform for tracking business intelligence, build for reliability and redundancy
  • Manage data collection and organize the models, and also forecast the future needs
  • Coach and mentor junior data engineers to be more effective individual contributors

You have:

  • Fluent in Python or similar programming language
  • Experience in data engineering tools like Hadoop, Spark, BigQuery, Airflow, etc.
  • Experience in deploying and scaling ML models. Plus point for deploying and scaling deep learning models.
  • Data-driven and passionate about solving problems through data
  • Inquisitive and curious to delve deep into data to investigate trends or anomalies
  • Detail oriented and be able to work efficiently in a fast-paced team environment
  • Keen on data technologies and picking up new skills and tools along the way
  • Strong critical thinking and ability to frame issues in a logical manner