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A technology solutions company in Brazil is looking for a Senior Python Data Engineer. In this role, you will design and build high-performance data processing pipelines and develop RESTful APIs using FastAPI. The ideal candidate must have strong proficiency in Python and experience with data modeling principles. You will also collaborate on automation and contribute to CI/CD pipelines. This position welcomes applications from all qualified candidates without regard to gender or identity.
Design, build, and maintain high-performance data processing pipelines using Python libraries (Pandas, Polars).
Develop and expose RESTful APIs using FastAPI or similar frameworks.
Consume and process normalized Parquet files from multiple upstream sources to generate dynamic Excel reports.
Contribute to a spec-driven development workflow (using GitHub Copilot, Claude, etc.) to scaffold and generate API / data pipeline code.
Optimize report generation logic for speed and scalability, currently targeting sub-20 second response times.
Integrate with messaging and storage mechanisms (e.g., Service Bus, Storage Accounts).
Collaborate on infrastructure-as-code automation using Bicep (or similar IaC tools).
Participate in design discussions for future migration to Snowflake and / or a data lake architecture.
Contribute to CI / CD pipelines using GitHub Actions.
Softensity is an equal-opportunity employer.
All qualified applicants are considered without regard to gender, identity, or personal background.