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Senior Data Practitioner – Data, Analytics Engineering

Full-time
Responsibilities
Presente su candidatura después de leer los siguientes requisitos de habilidades y cualificaciones para este puesto.

  • Lead the design, implementation, and long-term ownership of complex, multi-tenant data platforms
  • Build robust data components using advanced Python for APIs/orchestration and expert SQL for transformation and normalization layers
  • Establish and enforce global data engineering standards and quality frameworks
  • Drive continuous improvements in data infrastructure, modeling, and tooling
  • Mentor junior team members and define best practices for tooling and data craft

Requirements

  • 4 to 6 years of experience in data engineering or analytics
  • Expert SQL skills (architecting advanced incremental patterns, complex modeling, and query optimization)
  • Advanced Python for services/pipelines (not notebook‑only analytics)
  • Deep familiarity with production‑grade engineering practices, including CI/CD, test‑driven development (pytest), xhfqzwm and leading technical code reviews
  • Strong business-domain mindset for translating business data needs into efficient data architectures
  • Strong collaboration skills with Data Practitioners, Data Scientists, Software/ML Engineers, Product teams, and business stakeholders

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Senior Data Practitioner – Data, Analytics Engineering

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