**Description:** We are seeking a Senior/Full-Stack Python Developer to design and evolve data integration solutions focused on Python + Apache NiFi, covering the full lifecycle from technical design through delivery and operations (observability, performance, and security). You will play a key role in engineering standardization, mentoring, and technical leadership across data and integration initiatives. Responsibilities Design data integration solutions using Python as the primary language (scripts and small services). Create and manage end-to-end Python workflows (ingestion, transformation, output), applying best practices in version control, monitoring, and observability. Develop robust Python pipelines with emphasis on scalability, performance, and reliability (logs, metrics, alerts). Perform complex SQL queries and modeling, including stored procedures, triggers, window functions, and advanced subqueries. Optimize scripts and pipelines for improved performance, cost-efficiency, and security. Develop scalable Python solutions for high-volume data (integrations with APIs, messaging systems, etc.). Participate in designing distributed data architectures (Big Data, streaming, data lakes/warehouses). Conduct code reviews, quality audits, and establish standards for Python scripting. Define Python development standards and data governance policies for the organization (project structures, conventions, security). Lead proof-of-concepts for new tools and libraries (DataOps, ML, streaming frameworks, etc.). Provide technical support, mentoring, and guidance to junior and mid-level professionals. Coordinate and oversee deliveries by cross-functional teams, and participate in strategic planning for data architecture and integrations. Minimum Requirements Technical Requirements (Essential) **Advanced Python:** OOP, modules/packages, unit testing, logging, profiling, and optimization. **Advanced SQL:** data modeling, performance tuning, stored procedures, triggers, window functions, and complex queries. Experience with REST integrations (SOAP desirable) and/or messaging systems (e.g., Kafka). **Engineering Best Practices:** Git, code review, design patterns, documentation, and quality assurance. Familiarity with Docker and basic Kubernetes concepts for service execution/orchestration. Experience with agile methodologies (Scrum/Kanban) and CI/CD practices. Desirable Qualifications (Nice-to-Have) **Advanced NiFi:** clustering, high availability, performance monitoring, security configuration; use of custom scripts (Groovy/Python). Experience with NoSQL databases (MongoDB, Cassandra, Redis), including indexing and partitioning. Knowledge of data lakes, data warehouses, and streaming solutions (Flink, Spark Streaming). **Observability:** Prometheus, Grafana, ELK. Security and compliance applied to integrations (LGPD/GDPR, data protection best practices). Behavioral Competencies Technical leadership in small projects and mentoring to cultivate new talent. Clear communication with stakeholders, justifying technical decisions and trade-offs. Autonomy in time management, prioritization, and resolution of critical issues. Systemic thinking to assess the impact of changes across multiple workflows and systems. Agile mindset and focus on continuous delivery of value. Collaboration and empathy when working with DevOps, QA, Product, and Business teams. Negotiation skills and conflict management (timeline, scope, resources). Strategic vision to propose technologies and evolutions aligned with business goals. **Contract Type:** Full-Time **Minimum Education:** Bachelor’s Degree **Professional Level:** Technical/Specialist 2512170202551923452