
Data Engineer — Mid-level
dataRain Consulting
full-time
Posted on:
Location Type: Hybrid
Location: São Paulo • 🇧🇷 Brazil
Visit company websiteJob Level
Mid-LevelSenior
Tech Stack
AWSCloudNoSQLPythonSQLTableau
About the role
- Support the construction, maintenance, and evolution of data pipelines and data flows.
- Prepare datasets and inputs for model testing and GenAI experiments.
- Execute prompt tests, interaction flows, and technical evaluations in PoCs.
- Create reports to track performance and deliverables.
- Contribute to technical documentation, version control, and organization of deliverables.
Requirements
- Previous experience (even introductory) with LangChain, LlamaIndex, or similar frameworks.
- Experience in academic, personal, or professional projects related to GenAI.
- Knowledge of data visualization tools (Power BI, Tableau, Looker, etc.).
- Interest in automation, MLOps, and data engineering best practices.
- Initial experience with Python and data manipulation.
- Familiarity with generative AI concepts and data pipelines.
- Basic understanding of database integration (SQL and/or NoSQL).
- Basic knowledge of cloud environments (preferably AWS).
Benefits
- 30 days of paid annual vacation
- Access to the WellHub platform (Gympass)
- Recognition awards for tenure
- Day off on your birthday
- Incentives for AWS certifications
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
Pythondata manipulationSQLNoSQLdata pipelinesMLOpsdata visualizationLangChainLlamaIndexgenerative AI