Job Summary: We are seeking a Senior Data Engineer to lead the design, evolution, and implementation of ETL/ELT processes and data architecture, ensuring data quality and consistency across the data ecosystem. Key Highlights: 1. Technical leadership in Data Engineering 2. Design of modern data architectures 3. Direct technical engagement with clients as a subject matter expert **Description:** ---------------- Grupo NS is recruiting a Senior Data Engineer with over 6 years of experience in Data Engineering and data integration projects to perform the following responsibilities: • Lead the definition, design, and evolution of the platform’s ETL/ELT processes, ensuring alignment with business requirements. • Design and implement data ingestion, transformation, and persistence processes in Data Lake, Data Warehouse, or Lakehouse environments. • Establish and ensure data quality assurance by defining controls, validations, business rules, and traceability mechanisms. • Define technical standards, best practices, and development patterns for data pipelines. • Serve as the technical reference for the Data Engineering team, providing expert support, code reviews, and mentoring. • Engage directly with clients in a technical expert role, participating in design decision-making and data strategy definition. • Coordinate with architects, analysts, BI teams, and data science teams to ensure coherence across the data ecosystem. • Optimize performance, scalability, and reliability of data processes in production environments. • Document the architecture, data flows, and critical platform processes. NS is an organization that values both the technological expertise of its professionals and their interest and aptitude for developing new projects. Therefore, we seek individuals who are consistent, eager to grow, and committed to continuous learning. **Requirements:** --------------- Requirements • Over 6 years of experience in Data Engineering and data integration projects. • Extensive experience in defining and implementing complex ETL/ELT processes. • Advanced proficiency in Python, SQL, and distributed processing with Spark / PySpark. • Experience designing modern data architectures (Data Lake, Data Warehouse, Lakehouse). • Knowledge and practical use of CI/CD and version control with Git applied to data pipelines. • Ability to provide technical leadership to teams. • Excellent communication skills and ability to interact effectively with both technical and business stakeholders. • Experience working with Agile methodologies