Transforming Global Agricultural Data Architect

Há 19 horas

Porto Alegre, Rio Grande do Sul, Brasil beBeeDataEngineer Tempo inteiro US$120.000 - US$150.000

Our organization is a leading provider of technical expertise to the global food and agricultural industry, ensuring food safety, quality, and sustainability across international supply chains.

Job Role:

This key position involves building, maintaining, and modernizing complex data architectures that process large-scale regulatory information from around the world, transforming it into usable datasets for downstream applications and APIs.

The specialist will work hands-on with Python, SQL, and related tools to optimize legacy code pipelines, migrate processes to more maintainable platforms like Airflow, and ensure accurate, reliable, and ready-to-use data for client-facing products.

Key Responsibilities:
  • Develop and maintain intricate data pipelines using Python, SQL, and related tools.
  • Work with undocumented systems, troubleshoot gaps, and design forward-looking solutions that scale as our data environment evolves.
  • Collaborate with Agile software development teams to deliver short, iterative delivery cycles.
Requirements:
  • 7+ years of experience using Python for analyzing, extracting, creating, and transforming large datasets.
  • Proficiency in Python 3+, Pandas, NumPy, Jupyter Notebooks, and common Python libraries and tools.
  • Deep experience with SQL and relational data using Oracle, Postgres, or MS SQL Server.
  • Solid understanding of database design principles, data modeling, and data warehousing concepts.

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