2 months ago
Singapore, SingaporeMid Level

Responsibilities

  • Design, develop, and maintain scalable and reliable ETL pipelines for structured and unstructured data.
  • Automate data workflows and ensure efficient data movement across platforms.
  • Collaborate with data analysts, data scientists, business stakeholders, and internal and external teams to understand data needs.
  • Translate business requirements into technical specifications for data pipelines, storage, and processing solutions.
  • Document data pipelines, data warehouse structures, and data governance practices.
  • Ensure compliance with data governance, security, and privacy policies in partnership with security and governance teams.

Requirements

  • Bachelor’s degree or master’s degree in Computer Science, Data Engineering, Information Technology, or a related field.
  • 2–3+ years of data engineering experience with strong hands-on experience in big data warehouse.
  • Strong collaboration and teamwork skills.

Categories

Data Engineering
Charles & Keith Group

About Charles & Keith Group

1,001-5,000 employees

Charles & Keith Group is a Singapore-headquartered fashion retailer founded in 1996 that designs and sells footwear, bags, and accessories under the CHARLES & KEITH and PEDRO brands. The company operates an omnichannel model with e-commerce and more than 700 stores worldwide, serving consumers across Asia, the Middle East, and beyond. It is privately held and manages end‑to‑end product design, branding, and retail operations.

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