Senior Data Engineer - Python, Snowflake, AWS

About the role

A remote Senior Data Engineer position in Brazil, open to candidates based in Campinas. The role designs, builds and improves a data platform on AWS and Snowflake, acting as a technical reference in the team and contributing to architectural decisions while ensuring data quality, reliability and governance.

Key responsibilities

• Design and maintain scalable data pipelines using Airflow (MWAA)
• Develop production-grade Python code for API/SDK integrations, data processing and custom pipeline orchestration
• Model and evolve the Snowflake Data Warehouse and build transformations with dbt
• Define architecture, development standards and best practices
• Manage infrastructure as code with Terraform
• Ensure data quality, monitoring and reliability using Grafana, CloudWatch and automated testing
• Implement data governance practices, including cataloging, lineage and access control
• Optimize cost and performance across Snowflake, AWS and Spark
• Build and maintain CI/CD processes for data pipelines and models

Required profile

• Solid experience as a Data Engineer in production environments
• Advanced Python (3.x), including production applications, external APIs/SDKs, error handling and testing
• Advanced T-SQL, including query tuning
• Experience with Snowflake and dbt
• Knowledge of data modeling and data governance
• Experience with monitoring and observability tools

Required skills

• Proficiency in AWS, especially S3, Lambda, EMR and ECS
• Terraform or equivalent IaC tools
• Familiarity with Docker and CI/CD practices
• Preferred: Apache Spark / PySpark, Agentic AI, LLMs and AWS Bedrock, InfluxDB and OpenSearch, Collibra Connect, GUIDEWIRE DATA HUB, Great Expectations, Azure DevOps, FinOps