Senior Data Engineer

Added
8 days ago
Type
Full time
Salary
Salary not provided

Related skills

bigquery python kubernetes dbt airflow

πŸ“‹ 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

🎯 Requirements

  • Experience building and maintaining production data pipelines
  • Pride in the software you build, from initial design to production monitoring and continuous
  • 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

🎁 Benefits

  • Flexible working environment: Work from home or at one of our global offices
  • Flexible time off: Autonomy to manage your work-life balance
  • Collaborative team: High-bar, friendly, creative, and passionate colleagues
  • Career development: Workshops, frameworks, tools, training, and processes
  • Impactful work: Shape products relied on by 85,000+ users worldwide
  • Mobility options: Mobility budget or company car (based on your job category)
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