Job Description: Hard Skills (Technical Competencies) * Databases: SQL Server (mandatory), relational and dimensional data modeling. * ETL/ELT: SSIS (SQL Server Integration Services), Azure Data Factory, or similar tools. * Integrations: consuming and building REST/SOAP APIs; experience maintaining legacy APIs written in PHP is a plus. * Programming: Python (mandatory) and advanced T-SQL. * Cloud (preferred): experience with Azure (Data Lake, Synapse, Databricks). * Version Control: Git/GitHub for source code management and versioning. * Supporting Tools: Power BI (desirable for validation and BI support). Soft Skills (Behavioral Competencies) * Analytical and critical thinking to structure complex problems. * Organization and prioritization of multiple concurrent tasks. * Team collaboration with Process, Innovation, and BI teams. * Clear communication to translate technical concepts into business language. * Forward-looking mindset, planning scalable solutions. * Autonomy to work on highly technically complex projects. Preferred Qualifications * Experience implementing Data Warehouses (DW). * Experience in digital transformation and system integration projects. * Certifications in SQL Server, Azure Data, Big Data, or Data Engineering. Job Mission Develop and maintain the company’s data infrastructure, ensuring data collection, integration, quality, and availability. Design and evolve the SQL Server-based Data Warehouse (DW), implement ETL/ELT processes, system-to-system integrations, and APIs, and ensure data readiness to support business analytics, BI, and future Artificial Intelligence initiatives. Key Responsibilities * Design, implement, and manage data pipelines (ETL/ELT) using SQL Server and Python. * Model and optimize relational databases, and create views, stored procedures, and scheduled update jobs. * Develop integrations between internal and external systems using APIs and connectors. * Write automation scripts for data ingestion and transformation. * Ensure data quality, integrity, governance, and security. * Monitor and optimize DW performance. * Support business units and BI teams in delivering data for reporting and analysis. * Anticipate future needs for integrating new systems and expanding the DW. 2512150202201740017