Job Summary: A major company is seeking a Data Engineer to design, build, and optimize ETL pipelines, lead enterprise database migrations, and ensure ERP integration, with a strong focus on data quality and traceability. Key Highlights: 1. Lead database migrations and ensure ERP integration 2. Design and optimize high-performance ETL pipelines 3. Automate reports and processes for continuous improvement A major company requires a Data Engineer with at least three (3) years of verifiable experience in enterprise database migration. Advanced proficiency in SQL Server and Oracle (modeling, complex queries, optimization, and stored procedures). Experience in ERP migration projects (Siesa, SAP, Oracle NetSuite, Agility, or others). Solid understanding of accounting and financial processes, and integrations with finance, inventory, or sales modules. Responsibilities: - Design, build, and optimize ETL pipelines to migrate data between SQL Server, ensuring high performance, data quality, and traceability. Demonstrable experience with Alteryx Designer/Server for designing and automating ETL workflows. (Alteryx plus is optional) - Desirable knowledge of Python. - Experience working with heterogeneous data sources (CSV, REST APIs, Oracle, Excel, cloud). - Ability to coordinate deliverables within demanding timelines. - Lead the cleansing, validation, and transformation of master and transactional data, defining business rules jointly with Finance, Operations, and Commercial departments. - Oversee the development and automation of data workflows in Alteryx, from extraction through loading and validation, integrating local and cloud-based sources (Azure, OneDrive, Oracle, SharePoint, APIs). (Alteryx plus is optional) - Implement and review complex SQL queries, stored procedures, views, and functions supporting robust data models and maintaining referential integrity. - Ensure proper integration between ERPs and financial systems (Siesa, Agility, Oracle NetSuite, or others), verifying compatibility of structures and information flows. - Thoroughly document ETL processes, data mappings, error logs, and technical manuals, ensuring maintainability and traceability. - Propose and lead initiatives to automate repetitive reports and processes, oriented toward continuous improvement and operational efficiency. - Coordinate with functional leaders and IT teams to validate deliverables, ensure data quality, and meet migration timelines. Salary: $4.000.000. -Requirements- Minimum education: University / Professional Degree 3 years of experience Keywords: engineers, ingeniera, ing, engineer, data