Solutions
Recruitment Software
Post jobs, import profiles, add screening questions, and manage hiring all in one place with personalized questions and control the entire recruitment process.
Recruitment Service
Let our expert team handle the key stages of tech recruitment for you with our specialized team acting in the main stages of recruitment.
Talent Pool
Top-tier Brazilian tech professionals, pre-vetted and ready for action, all pre-selected and ready for new opportunities.
Our Plans
Discover the perfect plan for your needs.
Use Cases
Build my own team
Define the profile, validate with our experts, and assemble your tech team with full control over every step.
Autopilot
Put tech recruitment on autopilot and receive pre-vetted candidates matched to your needs without lifting a finger.
Complete Solution
From sourcing to hiring — an end-to-end tech recruitment experience powered by AI, specialists, and a curated talent pool.
Why GeekHunter?
Resources
HR Blog
Contents about people management, organizational culture and trends in human resources.
Glossary
A comprehensive guide to the key terms and concepts in tech recruitment and software development.
Frequently Asked Questions
Clear answers to the most common questions about using the platform and recruitment processes.
EN
Remote
(Anywhere)
Salary Range
R$9,800.00 - R$10,000.00 / month
Experience Level
Mid level
Requirements
Tasks and Responsibilities
Show originalA Nava is a technology company that drives the digital transformation of large organizations through innovative solutions, combining strategy, data, cloud, and software development to generate value for businesses.
We are looking for a Mid-Level Data Engineer to work on the construction and evolution of scalable data solutions, ensuring quality, governance, and high availability of information to support analysis and strategic decision-making.
Key Responsibilities
Develop and maintain efficient and scalable data pipelines for various scenarios (Data Lake, Data Warehouse, and Data Mart).
Implement data ingestion and transformation processes in Google Cloud Platform (GCP) environments.
Develop and maintain data transformations using DBT.
Define and apply relational and dimensional data modeling standards.
Translate business requirements into robust and scalable data solutions.
Ensure data quality, governance, security, and compliance.
Monitor and optimize performance and costs in cloud environments.
Contribute to the evolution of the data platform architecture and best practices.
Requirements
Experience in Data Engineering and analytical data modeling.
Mandatory knowledge of DBT.
Advanced proficiency in SQL and best practices for Data Warehousing.
Experience with Python and Spark for data processing.
Knowledge of the GCP ecosystem: BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Storage, and Composer.
Experience with CI/CD, versioning, and pipeline automation.
Knowledge of modern data architectures (Lakehouse, Data Mesh, and Streaming).
Knowledge of Databricks.
Differentials
Experience in data platform modernization projects.
Experience in large-scale corporate environments.
Knowledge of Data Vault and other advanced modeling methodologies.
We are seeking professionals with an analytical and collaborative profile, focused on quality, who are interested in tackling complex data challenges and contributing to the continuous evolution of the company's solutions.
#JoinNava #DataEngineering #DataEngineering #DBT #GCP #Databricks #BigQuery #CloudComputing
Share job:
Share job: