Engenheiro de Dados Pleno
Rehva Tech
Nova
Publicada há 7 horas
Regime de contratação
Pessoa Jurídica
Modelo de trabalho
Remoto
Carga horária
Não Informado
Descrição
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.