BigQuery
MongoDB
remoto
Faixa de Remuneração
R$
12.000-
15.000BRL/mês
PJ ou Cooperativa
Nível de Experiência
Sênior
Tempo de Experiência
3+ anos em Dados
3+ anos como Engenheiro de Dados
Curtiu a vaga? Demonstre interesse e seja encontrado pela empresa
Inglês
Essa vaga exige nível mínimo de inglês
Intermediário
Tecnologias Necessárias
Conhecimentos obrigatórios
BigQuery
MongoDB
Tecnologias Desejáveis
Conhecimentos não obrigatórios
Google Cloud
Airflow
Tempo de Experiência
Experiência mínima obrigatória
3+ anos em Dados
3+ anos como Engenheiro de Dados
Required Qualifications:
1. Bachelor's degree in Computer Science, Information Systems, or a related field.
2. Proven experience as a Data Engineer or similar role, with a strong background in designing and maintaining data pipelines.
Proficiency in SQL and working with cloud-based data warehouses (BigQuery experience preferred).
3. Experience with MongoDB for NoSQL database management.
4. Strong experience with Docker for containerization, along with orchestration tools such as Kubernetes (preferred).
5. Familiarity with workflow orchestration tools such as Apache Airflow or Prefect.
6. Experience with Google Cloud Platform (GCP) services (Cloud Functions, Cloud Run, BigQuery, Dataflow).
7. Strong programming skills in Python or other data-related programming languages.
8. Experience working with large datasets, and data integration from multiple sources.
9. Knowledge of data modeling, data governance, and data architecture best practices.
10. Familiarity with CI/CD pipelines for automated deployment of data infrastructure.
11. Fluent Spanish is a plus
Preferred Qualifications:
Experience with data processing from IoT devices or sensors, particularly spectrometry or other scientific instrumentation.
Familiarity with data visualization tools like Tableau or Google Looker Studio.
Experience managing data in cloud environments like GCP, AWS, or Azure.
Previous experience in a startup environment, particularly in the agriculture or coffee industry, is a plus.
What We Offer:
Opportunity to work with a passionate team in a rapidly growing startup at the intersection of data science and agriculture.
Flexible work environment, with remote work options.
Competitive salary and benefits.
Opportunities for career growth and development.
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