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Engenheiro de Dados Pleno

Rehva Tech

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Pessoa Jurídica

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Remoto

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Vaga para Engenheiro de Dados Pleno (100% remota e PJ) -> interessados favor mandar e-mail para konai@rehva.com.br e vitor@rehva.com.br

About the Job

The company is a leader in Data & AI Platform Solutions, is seeking exceptional talent in Data Engineering. We’re looking for someone who is passionate about data, thrives in an autonomous, high-learning environment, and enjoys working with cutting-edge technologies. As a Data Engineer, your mission will be to manage large volumes of data, creating solutions and generating insights for our clients.

Responsibilities

  • Lead client projects to ensure high data quality and deliver scalable solutions.
  • Develop, maintain, and evolve data pipelines and cloud platforms using DataOps and Data Engineering principles.
  • Participate in architectural decisions, address technical debt, and engage in agile methodologies.
  • Design and model secure, reliable, and scalable data architecture solutions.
  • Engage in internal training and alignment activities to foster continuous growth.

Minimum Qualifications

  • 3+ years of experience in Data Engineering or a related field.
  • Bachelor’s degree in a STEM or related field (or equivalent industry experience).
  • Proficiency in building and maintaining data pipelines (Tools, Python, Scala).
  • Experience in SQL and Python development. *
  • Experience with Linux environments and cloud services.*
  • Familiarity with CDC ingestion tools (e.g., Debezium, DMS) and data orchestration tools (e.g., Airflow, NiFi).*
  • Hands-on experience with Kubernetes and Apache Spark.*

Preferred Qualifications

  • Experience with infrastructure development tools like Terraform or CloudFormation.
  • Strong organizational and multitasking skills with the ability to balance competing priorities.
  • Experience working in tech startups or with BI tools (e.g., PowerBI, Tableau, Metabase).
  • Ability to process and transfer data via custom scripts (e.g., APIs, files).
  • Knowledge of relational and non-relational databases.
  • Advanced English.

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