Senior Data Engineer

Description

Job Summary: We are seeking a Senior Data Engineer to lead the design and evolution of ETL/ELT processes, ensure data quality, and serve as a technical reference. Key Highlights: 1. Lead the definition and evolution of complex ETL/ELT processes. 2. Act as a technical reference and participate in data strategy. 3. Work with modern data architectures and agile methodologies. **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 data 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 enforce data quality assurance, 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 processes of the platform. NS is a company that values both the technological professional profile of its employees and their interest and aptitude in developing new projects. Therefore, we seek individuals who are consistent, eager to evolve and learn. **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 in designing modern data architectures (Data Lake, Data Warehouse, Lakehouse). • Knowledge and 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