Job Summary

$6,500 - $9,000 SGD / Monthly EST

Job Type


Years of Experience
Information not provided

Tech Stacks

Job Description

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 Data Engineers/ Sr. Data Engineers to join our Data team.

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:

  • User obsession and empathy.
  • Drive and resourcefulness to persevere and overcome obstacles achieving challenging goals.
  • Focus on impact and results. You work on the right things and get them done.
  • High integrity and ability to positively collaborate with others
  • 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

P.S. The job title will be given based on working experience and interview performance.

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