Hitss Brasil
Hitss Brasil
5.001 – 10.000 Angajați
ConsultanțăLogisticăMarketing
Hitss Brasil este o companie de integrare a sistemelor și servicii IT din cadrul grupului América Móvil, care furnizează soluții digitale și servicii de transformare digitală în America Latină și Statele Unite. Cu peste 37 de ani de experiență, activitatea sa include consultanță tehnologică, implementarea inteligenței artificiale și integrarea instrumentelor digitale care îmbunătățesc procesele de afaceri, produsele și serviciile. Compania deservește sectoare precum agroindustria, serviciile financiare, sănătatea și orașele inteligente.

Data Administrator, Data Lake (Hybrid)

Support Hitss Brasil’s Data Lake gold layer and develop data models for analytical use cases. Apply SQL, Python, Git, and data governance practices in a hybrid role based in Brazil.

Descriere

  • Maintain and improve the gold layer of the Data Lake
  • Build SQL and Python data models and tables for analytical requirements
  • Manage query and script versioning and review code for quality and consistency
  • Help establish governance practices, naming standards, and documentation
  • Organize and document data layers for sustainable maintenance
  • Work with business and data teams to assess needs and recommend analytical solutions

Cerințe

  • Bachelor’s degree in technology or a related discipline
  • Completed postgraduate degree in IT, or six professional certifications in the relevant expertise area and/or agile processes from an internationally recognized certifying body
  • Demonstrated professional experience in data administration and data modeling
  • Postgraduate degree in Information Technology or six professional certifications in the relevant expertise area and/or agile methodologies from a recognized certifying body
  • Experience applying medallion architecture to data lakes
  • Hands-on experience with data modeling in SQL and Python
  • Experience using Git for version control and reviewing SQL queries and Python scripts
  • Experience with dbt for data transformation is preferred
  • Knowledge of or experience with Data Mesh is preferred
  • Previous experience working with education policy data is preferred

Beneficii

  • Open to professionals with disabilities and committed to gender and racial or ethnic equity
  • Equal opportunities for career development
  • Innovation-, collaboration-, and development-focused work environment
  • Autonomy to apply your skills and collaborate with talented colleagues

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