Senior Data Engineer

Description

Job Summary: A professional to define and implement data architectures, working on Big Data and AI projects while ensuring alignment with policies and business rules. Key Highlights: 1. Active involvement in data architecture and IT/data infrastructure. 2. Collaborate on AI projects and integrate data and systems. 3. Develop robust and scalable data architectures. **Opportunities for those who want to transform businesses and their careers!** --------------------------------------------------------------------- ### **Desirable Qualifications** • Postgraduate degree and certifications in IT; • Experience related to data; • Experience in the financial sector; • Experience at large enterprises processing large volumes of data; • Experience in MLOps/LLMOps projects and model deployment infrastructure (inference, monitoring).### **Job Requirements** • Bachelor's degree in Computer Science, Information Systems, Systems Analysis and Development, or related fields; • Knowledge of strategic management and project management; • Proficiency in Python for ETL scripting, data manipulation, and API development (libraries such as Pandas, NumPy, PySpark); • Experience with Apache Spark, Flink, and Kafka, and developing efficient workers; • Knowledge of data infrastructure (Data Lake, Lakehouse, Data Warehouse, Big Data) and associated technologies; • Strong SQL skills and experience with relational and NoSQL databases; • Knowledge of DataOps and data architectures, including observability; • Application of agile methodologies (Scrum, Kanban).### **Your Responsibilities** • Actively contribute to defining the data architecture (sources, ingestion, storage, access) and ensure alignment with IT policies and business rules; • Support defining requirements for the IT/data infrastructure area, exercising critical judgment regarding proposed solutions and alternatives; • Design and implement robust and scalable data architectures, ensuring efficiency in processing and storage; • Work closely with other teams, anticipating needs and providing support to ensure project success; • Collaborate on defining and extracting data from diverse sources for ingestion into Big Data platforms, and support creating and defining structures so that data is appropriate, accessible, and available—ensuring alignment between operational data and required data models; • Contribute to Artificial Intelligence projects concerning data and system integration. • Support solution architecture and system maintenance.### **Important Reminders...** At UDS, we hire competent individuals 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 the job? **That’s all that matters.** Do your profile and values align with ours? **Join us in driving transformation.**