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
Not informed
Experience Level
Senior
Requirements
Tasks and Responsibilities
Show originalEnglish: Advanced.
- Develop and implement efficient and scalable data pipelines using tools such as Azure Data Factory, Azure Databricks, and other Azure solutions.
- Develop solutions for integrating data from various sources, ensuring quality, consistency, and reliability.
- Work in close collaboration with multidisciplinary teams, including data scientists, ML engineers, and data analysts, to ensure the seamless integration of data engineering solutions.
- Experience in designing and implementing data pipelines using Azure Data Factory, Azure Databricks, and other related services.
- Solid knowledge of scripting languages such as Python, Scala, or PowerShell.
- Familiarity with data modeling concepts and query optimization.
Data Engineer
English: Advanced.
- Develop and implement efficient and scalable data pipelines using tools such as Azure Data Factory, Azure Databricks, and other Azure solutions.
- Develop solutions for integrating data from various sources, ensuring quality, consistency, and reliability.
- Work in close collaboration with multidisciplinary teams, including data scientists, ML engineers, and data analysts, to ensure the seamless integration of data engineering solutions.
- Experience in designing and implementing data pipelines using Azure Data Factory, Azure Databricks, and other related services.
- Solid knowledge of scripting languages such as Python, Scala, or PowerShell.
- Familiarity with data modeling concepts and query optimization.
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