**Open positions for those who want to transform businesses and their careers!** --------------------------------------------------------------------- ### **Desirable** Postgraduate degree and certifications in IT; Experience in regulated environments (e.g., financial sector); Experience with orchestration tools (e.g., Airflow); Knowledge of integration with ML models or consumption of AI APIs; Experience with medium-scale environments and processing significant volumes of data.### **Job Requirements** Bachelor's degree completed in Computer Science, Information Systems, Systems Analysis and Development, or related fields; Practical experience in developing and maintaining data pipelines; Solid knowledge of Python for ETL, data manipulation, and APIs (Pandas, NumPy, PySpark); Practical experience with Spark and/or Kafka; Knowledge of batch and streaming data processing; Knowledge of Data Lake, Lakehouse, and Data Warehouse; Proficiency in SQL and experience with relational databases; Basic understanding of NoSQL; Basic understanding of DataOps, pipeline versioning, and monitoring; Practical application of agile methodologies (Scrum, Kanban).### **Your Responsibilities** Actively support the definition of requirements for the IT/Data infrastructure area, contributing technical analyses of proposed solutions and alternatives, evaluating impacts on performance, cost, scalability, and alignment with existing architecture; Adopt a moderately critical perspective, suggesting improvements and identifying technical risks, aligned with guidelines established by senior teams and corporate architecture; Participate in the design and implementation of medium-complexity data architectures, following standards and guidelines defined by corporate architecture; Collaborate with both technical and non-technical teams, translating complex concepts into accessible language to facilitate alignment and decision-making; Actively contribute to project success by anticipating needs, supporting other areas, and participating maturely and results-focused in resolving technical disagreements; Actively collaborate in defining and extracting data from diverse sources for ingestion into Big Data platforms, ensuring adherence to established standards; Support data structure modeling and organization to ensure appropriateness, accessibility, and availability for consumption, guaranteeing alignment between operational data and required analytical models; Actively contribute to projects related to data and system integration, implementing medium-complexity solutions and ensuring adherence to defined architectural standards; Support the technical design of solutions, participate in the evolution of existing architecture, and maintain and continuously improve systems under your responsibility.### **It’s important to remember that...** At UDS, we hire competent people who are eager to transform using their knowledge. This is independent of your region, age, ethnicity or race, religion, gender identity, or sexual orientation. Do your skills match this position? **That’s all that matters.** Do your profile and values align with ours? **Come create transformations with us.**
João Silva
Indeed · HR
João Silva
Indeed · HR
