Hitss Brasil
Hitss Brasil
Hitss Brasil, Grupo América Móvil की एक सिस्टम इंटीग्रेटर और आईटी सेवा कंपनी है, जो पूरे लैटिन अमेरिका और संयुक्त राज्य अमेरिका में डिजिटल समाधान और डिजिटल रूपांतरण सेवाएँ प्रदान करती है। 37 से अधिक वर्षों के अनुभव के साथ, कंपनी का काम प्रौद्योगिकी परामर्श, कृत्रिम बुद्धिमत्ता के कार्यान्वयन और डिजिटल उपकरणों के एकीकरण तक फैला है, जो व्यावसायिक प्रक्रियाओं, उत्पादों और सेवाओं को बेहतर बनाते हैं। कंपनी कृषि-व्यवसाय, वित्तीय सेवाओं, स्वास्थ्य सेवा और स्मार्ट शहरों सहित विभिन्न क्षेत्रों को सेवाएँ प्रदान करती है।

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.

विवरण

  • 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

आवश्यकताएँ

  • 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

लाभ

  • 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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