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

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

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

Full Stack Data Scientist – Data Pipelines, Optimization, Genetic Algorithms

Key skills