Serve as a senior technical reference for system integrations, including legacy environments and cloud services.
Provide technical and analytical support to Data Science and Data Engineering teams, ensuring consistency, quality and reliability of data flows.
Use Python to support technical analyses, diagnostic scripts, data validations, operational automations and pipeline support.
Support the design, validation and evolution of observability architecture, using logs, metrics and traces.
Work in the context of cloud migration, supporting architectural decisions, troubleshooting and stabilization of the environment.
Propose and implement continuous improvements in monitoring, alerting, automations and operational processes.
Produce and maintain technical documentation of architectures, data flows, integrations and adopted standards.

Proven solid experience in enterprise system integrations (REST APIs, messaging, synchronous and asynchronous processes).
Hands-on experience with cloud environments.
Consistent experience with Python applied to automations, data analysis, integration support and problem diagnosis.
Strong experience with system observability (monitoring, logging, tracing).
Advanced ability to analyze complex problems in distributed architectures.
Solid knowledge of relational and/or NoSQL databases.
Familiarity with data architecture, pipelines and analytics ecosystems.
Experience in complex corporate environments, including ERP systems and multiple integrations.
Good communication skills to work across technical teams and business stakeholders.
Experience applying Python to data, analytics or to support Data Science initiatives.
Advanced conversational English.

Senior Python Developer

Key skills