Carousell Group

Data Engineer

18 April 2024
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Deadline date:
£89000 - £150000 / year

Job Description

Company Description

 

 

Job Description

Carousell Group is the leading online classifieds marketplace for secondhand goods in Southeast Asia, with a mission to inspire the world to sell and buy more sustainably. Chotot Data Engineering is a sub-team of Carousell Group Data Engineering, focused on building a self-service data infrastructure platform. Our team is dedicated to creating a robust platform that allows users to easily ingest, access, and transform data into valuable insights using familiar and comfortable tools. We are currently seeking a excellent Data Engineer to join our team, you will have the opportunity to work on group level projects that deliver meaningful value and contribute to our missions in Southeast Asia

RESPONSIBILITIES

  • Develop and maintain data exploration, visualization platform, customer data (CDP) as well as experimentation platform to support business needs and enable data-driven decision making
  • Develop and maintain MLOps tools, platforms for data scientists and ML engineers to automate, standardize, and manage ML projects
  • Design solutions and build self-serve data infrastructure platforms for internal data users such as data ingestion, transformation, streaming processing, event data management. The goal is to improve the efficiency and effectiveness of using data across the group through self-service capabilities
  • Manage common data infrastructures components, such as orchestration tool, logging and monitoring, CI/CD, data governance
  • Responsible for Cloud cost control via cloud Finops best practices
  • Build, maintain and efficiently scale complex data ETL, high-throughput real-time and offline data pipeline

 

    Qualifications

    REQUIREMENTS

    Must to have:

    • 3+ years of experience in data engineering roles with BSc or MSc degree in Computer Science
    • Experience building platforms for internal use, with a strong focus on self-service capabilities and efficient data processing
    • Familiarity with SQL/BigQuery, Kafka, Kubernetes, Docker
    • Strong proficiency in at least one of the following programming languages: Python, Scala
    • Have experience using the Flask framework
    • Excellent written and spoken English skills
    • Ability to quickly learn and adapt to new technologies.
    • Strong attention to detail, self-motivated, and responsible.

    Additional Information

    • Nice-to-Have:

      • Experience with Golang
      • Strong scripting ability in Bash
      • Familiarity with designing and operating robust distributed systems

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