263017 - Data Engineer (Mid-Level)

Description

Job Summary: This role involves actively supporting IT/Data infrastructure, critically assessing solutions, and collaborating on data architecture and integration to drive business transformation. Key Highlights: 1. Transform businesses using your expertise and collaborate on data projects. 2. Support requirement definition and participate in architecture evolution. 3. Work in regulated environments with a focus on performance and scalability. **Open positions for those who want to **transform** businesses and their careers!** --------------------------------------------------------------------- ### **Desired Qualifications** 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 mid-sized environments and processing significant volumes of data.### **Job Requirements** Bachelor's degree 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 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 requirement definition 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 designing and implementing 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 in resolving technical disagreements maturely and with a results-oriented focus; 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 data and system integration projects, implementing medium-complexity solutions and ensuring adherence to defined architectural standards; Support technical solution design, participate in evolving the 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.**