Strategic Data Architect

Há 3 dias

Rio de Janeiro, Rio de Janeiro, Brasil beBeeData Tempo inteiro US$80.000 - US$140.000
Business Intelligence SpecialistAbout the Role:You'll play a crucial role in designing, building, and scaling data models, pipelines, and self-service analytics across the organization.We're seeking an expert who can develop a reliable aggregation layer and reporting structure that meets growing business needs, enabling teams to access and analyze data independently.This is a global opportunity with a leading consulting firm present in nearly 50 countries.The ideal candidate will have strong SQL skills, experience with data modeling techniques, and knowledge of data visualization tools such as Sigma and Tableau. Proficiency in a programming language like Python or Scala is also required.You should be comfortable working in a fast-paced environment and have excellent communication skills to work with technical and non-technical teams.Key Responsibilities:
  • Design, build, and scale data models, pipelines, and self-service analytics
  • Develop a reliable aggregation layer and reporting structure
  • Investigate, create, and implement solutions for existing technical challenges
  • Provide guidance, instruction, direction, leadership to a development team
Requirements:
  • 7+ years of IT experience
  • University degree in Computer Related Sciences or similar
  • 3+ years experience working in business intelligence, data analytics, Data engineering or a similar role
  • Strong SQL skills and experience with data modeling techniques
  • Knowledge of data visualization tools (e.g., Sigma, Tableau)
  • Proficiency in a programming language (e.g., Python, Scala)
  • Experience building reporting and dash boarding solutions using data lake/Snowflake or similar ecosystem
  • Expert in Database fundamentals, SQL and performance tuning
  • Excellent communication skills and experience working with technical and non-technical teams
Nice to Have:
  • Experience with real-time data processing and streaming technologies
  • Experience with modern data warehousing platforms (e.g., Snowflake, DataBricks, Redshift)
  • Familiarity with machine learning concepts and their data requirements

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