Grupo Boticário
Grupo Boticário
Grupo Boticário — тарихы 1977 жылдан басталатын, тері күтімі, макияж, салауатты өмір салты және басқа да сұлулық өнімдерін қамтитын кең портфелі бар бразилиялық сұлулық компаниясы. Компанияның қызметі өнім инновацияларын инклюзивтілікке, қолжетімділікке, тұрақты дамуға, кәсіпкерлікке және қоры мен оған байланысты бастамалары арқылы әлеуметтік әсерге басымдық берумен ұштастырады. Латын Америкасындағы ең ірі сұлулық платформаларының бірі ретінде компания өндірісті, тұтынушылық брендтерді және сапалы сұлулық шешімдеріне қолжетімділікті кеңейтуге бағытталған бастамаларды біріктіреді.

Analytics Engineer Specialist I – Data (Remote in Brazil)

Lead analytics engineering for Grupo Boticário’s data organization, with a focus on modeling, quality, governance, and reliable metrics. Build BigQuery, Looker, and Airflow solutions supporting the company’s beauty ecosystem.

Сипаттама

  • Own data modeling and maintain dependable data layers across GCP and BigQuery
  • Convert complex business rules into clean, efficient, version-controlled code
  • Conduct ad hoc exploratory analyses to diagnose issues and uncover insights
  • Safeguard Data Science models from data quality and reliability issues
  • Develop automated tests, quality monitoring, and technical documentation
  • Maintain trustworthy critical metrics while supporting compliance with Brazil’s LGPD
  • Improve query and pipeline performance while managing cloud processing costs
  • Partner with Product Managers and business teams during discovery and solution architecture
  • Create semantic layers in Looker
  • Support team development through code reviews, pairing, and engineering best practices
  • Advance a self-service business intelligence culture
  • Trace root causes and manage requests from initial requirements through production validation

Талаптар

  • Bring a consultative approach and the autonomy to manage processes from start to finish
  • Experience leading discovery, refinement, documentation, development, validation, and production delivery
  • Demonstrated commitment to testing, governance, LGPD compliance, and preventing recurring incidents
  • Advanced SQL and Google BigQuery knowledge
  • Experience governing query and process efficiency and associated costs
  • Proficiency in Python for data applications, including creating and maintaining stored procedures
  • Strong background in data modeling and semantic layer development
  • Extensive experience with Looker, metric layers, and interactive dashboards
  • Practical experience using Airflow
  • Experience with Git, code reviews, and CI/CD pipelines

Артықшылықтар

  • Flexible medical and dental coverage options
  • Prescription assistance and health allowances for family members
  • Free psychotherapy sessions and 24/7 telemedicine access
  • Ongoing prevention, mental health, and vaccination initiatives
  • Meal voucher or on-site restaurant access, plus a food allowance with an additional Christmas allowance
  • Discounts of up to 40% across brands in the company’s ecosystem
  • Gympass or TotalPass access to gyms and sports studios
  • Home office allowance for hybrid and remote work arrangements
  • Paid day off for your birthday
  • Pet health insurance, partner discounts, and travel and accommodation programs
  • Extended parental leave of 180 days for mothers and 120 days for fathers
  • Support for parents of children with special needs and childcare assistance
  • School supplies allowance and child nutrition credit
  • Dedicated legal, psychological, and social assistance
  • Private pension plan and life insurance
  • Bereavement support after the loss of parents and payroll-deducted loan options
  • Transportation allowance and parking based on the work arrangement

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