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Inteligência, Inovação e Tecnologia.
Full Stack Data Scientist – Data Pipelines, Optimization, Genetic Algorithms
Location
Brazil
Posted
36 days ago
Salary
0
Seniority
Senior
Job Description
Full Stack Data Scientist – Data Pipelines, Optimization, Genetic Algorithms
Leega
• Implement and monitor data ingestion and processing pipelines across RAW, TRUSTED, and REFINED stages • Develop ingestion processes using AWS Lambda (Ingestor) • Manage data in S3 (Landing and Output) with formats: Parquet, JSON, execution metadata • Make data available for query and analysis via Amazon Athena • Develop, maintain, and evolve optimization models based on Genetic Algorithms • Evaluate model performance based on: solution quality, execution time, stability, and convergence • Continuously work to improve operational results • Integrate processing services with SQS for: triggering executions, asynchronous message consumption, returning results and metadata • Ensure efficient integration with the Planner (Front-End, Back-End, and Database) • Publish execution outputs: optimization results, logs, technical and functional metadata
Job Requirements
- Full Stack professional with strong experience in data engineering and data science, specialized in Genetic Algorithms and operational optimization
- End-to-end responsibility for the solution lifecycle: from data ingestion and processing to development, execution, monitoring, and continuous improvement of optimization models in an AWS cloud environment
- Not a strict requirement but a plus: residing near Indaiatuba to attend on-site at least once per week
- Python (primary)
- REST APIs
- Knowledge of Genetic Algorithms for optimization
- AWS (S3 / Lambda / ECR / EKS (Kubernetes) / SQS / Athena / Docker / SQL (Athena) / Parquet / JSON)
- GitHub / Bitbucket
- Observability and logging
Benefits
- Leega is a company focused on efficient and innovative service for its clients
- Our culture is inspiring and our values guide our day-to-day: ethics and transparency, pursuit of quality excellence, teamwork, economic, social and environmental responsibility, human relationships, and credibility
- We seek innovative professionals who are driven by challenges and focused on results
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