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Data Engineer for Data-Driven Solutions Development

2 meses atrás

Campinas, São Paulo, Brasil Communities for Recovery Tempo inteiro

We're seeking a talented Data Engineer to join our team at Communities for Recovery and contribute to the development of data-driven software solutions. You'll leverage your expertise in ETL pipelines and MLOps to identify opportunities, design solutions, and translate them into real-world applications.

Key Responsibilities

  • Partner with stakeholders across the organization to understand business needs and translate them into technical requirements.
  • Implement and optimize data pipelines, ensuring data quality and integrity.
  • Be part of the development of a new solution powered by genAI technology, working with software engineers or coding yourself depending on the project.
  • Continuously monitor and evaluate the performance of solutions and applications to ensure effectiveness.
  • Communicate complex technical concepts to both technical and non-technical audiences.
  • Collaborate with Data Scientists to design and build scalable and efficient data architectures.
  • Automate data workflows and support the maintenance of existing data infrastructure.

Requirements

  • You have a good university degree in Computer Engineering, Statistics, Computer Science, or a related field (or equivalent experience).
  • Development and support of real-time data ingestion processes from various data sources.
  • Provide support in requirements definition, estimation, development, and delivery of robust and scalable solutions.
  • You know how to create pipelines and deploy applications using cloud platforms such as Azure, AWS, and GCP.
  • You have practical experience in Python as well as with SQL or NoSQL and Docker.
  • Experience with ETL tools and data integration frameworks.
  • DevOps: Good understanding of how to implement DevOps and CI/CD.
  • MLOps: Support Data Scientists in tasks to scale and automate machine learning projects.
  • Experience with data warehousing solutions such as Snowflake, Redshift, or BigQuery.
  • APIs and Integration: Familiarity with creating and consuming APIs for data integration.
  • Version Control: Strong understanding of version control systems, particularly Git.
  • You communicate confidently in English.

Bonus Points

  • Experience being part of software development projects.
  • Knowledge of data visualization tools such as Tableau, Power BI, or similar.
  • Familiarity with big data technologies like Hadoop, Spark, or Kafka.
  • Experience with container orchestration tools like Kubernetes.
  • Understanding of data governance and data security best practices.
  • Experience with a specific domain relevant to our industry (please specify in your cover letter).