Added
5 days ago
Type
Full time
Salary
Salary not provided

Related skills

bigquery python kubernetes gcp dbt
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๐Ÿ“‹ Description

  • Design, build, and deploy scalable data pipelines that ingest data from various sources like APIs
  • Implement complex domain modeling and transformation logic to unify disparate data sources into
  • Contribute to architectural improvements by transitioning legacy processes into modern, scalable
  • Own the support and troubleshooting of live integrations, from diagnosing hotel and internal issues
  • Drive operational excellence by improving the reliability and quality of our data pipelines through
  • Collaborate closely with product, engineering, support, and business teams, as well as customers

๐ŸŽฏ Requirements

  • Experience building and maintaining production data pipelines, with a growing interest in shaping
  • A keen interest in the end-to-end lifecycle of large-scale ingestion and transformation engines.
  • Professional proficiency in Python for large-scale data processing and pipeline development.
  • Strong knowledge of data cloud technologies and hands-on experience with a major cloud platform
  • Forward-thinking builder who uses AI-assisted tools to ship high-quality code faster.
  • Fluent in English with excellent communication skills to discuss technical details and explain

๐ŸŽ Benefits

  • Flexible time off: Autonomy to manage your work-life balance.
  • Alan Flex benefits: 160โ‚ฌ/month for food or nursery.
  • Flexible retribution: Optional benefits through tax-free payroll deductions for food
  • Wellbeing support: Subsidized ClassPass subscription.
  • Comprehensive health insurance: 100% Alan coverage for you, your spouse, and dependents.
  • Impactful work: Shape products relied on by 85,000+ users worldwide.
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