Data Pipeline Architect

5 days ago

Singapore beBeeDataEngineer Full time

Job Title

We are looking for a skilled Data Engineering professional to lead the development and maintenance of robust and scalable data pipelines.

  • Develop and implement ETL pipelines in Python to power industry models and analytics products.
  • Collaborate with lead analysts to ensure data accuracy, completeness and utility value across multiple sources and formats.
  • Design and build scalable and reusable data workflows in cloud environments (GCP, AWS or Azure).
  • Implement and maintain data quality monitoring.
  • Utilize a SQL database via automated cron jobs.
  • Maintain and extend dashboards and APIs that deliver data to internal analysts and external clients.
  • Support the integration of new datasets, tools and infrastructure components to enhance analytics capabilities.

Requirements – Must Haves:

  • 1–3 years of experience in Data Engineering, Data Science or equivalent role.
  • Proficient in Python, SQL and Excel.
  • Strong ETL development experience.
  • Hands-on experience with at least one cloud platform (GCP, AWS or Azure).
  • Highly autonomous—able to take a problem from definition to deployment with minimal oversight.

Nice to Haves:

  • Experience with Flask, Redis, Dash, Airflow, GitHub Actions and/or Kubernetes.
  • Familiarity with automated regression, smoke or unit testing methodologies.
  • Experience working with messy, real-world data.

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