Vaga de parceiro

Engenheiro de dados - Curitiba / PR

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Detalhes da Vaga

  • Escolaridade Não Informado
  • Segmento Não Informado
  • Salário Não Informado
  • Área de AtuaçãoDiversos / Outros

O que você irá fazer

  • We combine advanced technology, regulatory expertise, and laboratory testing experience to ensure that companies worldwide meet quality and compliance requirements.
  • Use Python and SQL to efficiently create, extract, transform, and optimize very large datasets.
  • Troubleshoot data and data processes and develop solutions for improvement.
  • Develop and maintain data models, schemas, and documentation.
  • Contribute as a hands-on engineer while sometimes taking the lead in the technical design and solution.
  • Collaborate daily with data scientists, food scientists, product owners, team members, API developers, architects, and DevOps engineers.
  • Advise other developers, both junior and senior, and share best practices.
  • Required Qualifications:Minimum 7 years experience using Python for analyzing, extracting, creating, and transforming large datasets.
  • Proficiency in Python 3+ and common Python libraries for data engineering and data science, specifically Pandas, NumPy, and SciPy.
  • 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.
  • Excellent troubleshooting skills and instincts.
  • Curious, self-motivated, and self-directed; comfortable working within an Agile software development team with short, iterative delivery cycles.
  • College degree or equivalent experience in computer science, software development, engineering, information systems, math, food science, or other applicable field of study.
  • Preferred Qualifications:NoSQL database design and development using MongoDB, AWS DynamoDB, or Azure Cosmos DB.
  • Familiarity with cloud platforms (e.
  • g.
  • , AWS, Azure, GCP) and services related to data storage/processingExposure to Terraform or other Infrastructure-as-Code tooling.
  • Proficient in Azure DevOps for source code and pipeline management.
  • Location: Remote + CLTJob Type: Full Time

Informações Adicionais

  • Quantidade de Vagas 1
  • Jornada Não Informado
 

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