Resumo da vaga

Senior Data Engineer

Requisitos e responsabilidades

Conteúdo da vaga extraído em seções para revisão mais rápida.

Details

  • Designing and implementing data architecture for new capability areas - modelling approaches in dbt, pipeline reliability decisions, the works.
  • Owning our ETL and reverse ETL processes, warehouse structure, authoritative fact tables, and data dictionary definitions.
  • Finding and fixing data quality and coverage gaps across markets, and building the monitoring infrastructure to catch them earlier next time.
  • Leading data initiatives end-to-end across Product, Analytics, and Clinical teams - managing competing priorities without losing momentum.
  • Presenting your work and decisions to senior stakeholders, and being comfortable pushing back when the data doesn't support what's being assumed.
  • Working with our analysts and engineers and gradually lifting the standard of how the team works.
  • 6+ years in Data Engineering with genuine end-to-end ownership, pipelines, warehouse, the lot.
  • Solid experience with BigQuery, dbt or equivalent, and AWS.
  • Someone who can deliver under ambiguity and doesn't need a perfect brief to get started.
  • Good communication, you'll be talking to non-technical stakeholders regularly and need to make it land.

Nice to haves

  • Healthcare or regulated industry experience.
  • Reverse ETL tooling or data observability experience.
  • Experience designing A/B tests or pilots before the fact, not after.

Nice to haves

  • Work From Anywhere. 🌍
  • A competitive salary and awesome benefits package. 💰
  • A supportive and positive work environment. 🌟
  • Opportunities to grow and develop your career. 📈
  • Opportunity to transform lives through alternative medicine. 💡
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