Job Summary: We are seeking a Data Integration Engineer to manage platforms, integrate data, and support infrastructure, ensuring efficiency, security, and alignment with business needs. Key Highlights: 1. Platform management and data integration 2. Focus on continuous improvement and technological innovation 3. Opportunity for leadership and mentoring technical teams We are looking for a **Data Integration Engineer** to manage platforms, integrate data, and support infrastructure, ensuring efficiency, security, and alignment with business needs. ### **Key Responsibilities** **Platform Management** * Installation, configuration, and maintenance of application platforms. * Ensuring performance, security, and stability of environments. **Data Integration** * Development and maintenance of data integration pipelines. * Implementation and management of ETL (Extract, Transform, Load) processes. * Definition of data transformation rules and data quality controls. **Infrastructure Management** * Maintenance of servers (on-premises and cloud VMs), network, and security (SSL). * Continuous monitoring of system performance and health. * Execution of routine updates, patches, and backups. **User Management** * Administration of roles and access permissions. * Support and training for proper platform usage. **Monitoring and Support** * Identification and resolution of technical incidents. * Liaison with vendors and support teams to resolve complex issues. **Documentation and Reporting** * Documentation of processes, configurations, and troubleshooting. * Generation of performance reports, data quality reports, and usage metrics. **Collaboration** * Close collaboration with data analysts, developers, and business stakeholders. * Ongoing communication regarding system and project status. **Continuous Improvement** * Constant updating on emerging technologies. * Identification of opportunities to improve efficiency and productivity. **Competencies** ---------------- ### **Technical Competencies** * Proficiency in **SAP BOBI, SAP BODS, Qlik, Fivetran, ADF, and ADP**. * Solid experience in ETL and data integration techniques. * System and platform administration. * Definition of best practices in Data Governance, Data Management, Data Quality, and data technologies. * Ability to deepen technical knowledge and act as a mentor. * Tracking of technological trends (publications, conferences, vendors). ### **Analytical Skills** * Strong troubleshooting and problem-solving ability. * Critical and analytical thinking to support business decisions. * Data analysis for strategic support. * Partnership with Solutions Data Architect/Application Design Lead in defining technology roadmaps. * Influence over architecture decisions, solution design, and end-of-life assessments. * Leadership in documenting processes, strategies, and roadmaps. * Focus on continuous improvement and productivity enhancement. * Support for end-to-end change management processes and tools. ### **Project Management** * Experience in project planning, execution, and monitoring. * Efficient resource management to achieve objectives. ### **Communication** * Strong ability to collaborate with cross-functional teams. * Capacity to influence adoption of new technologies. * Clarity in technical and functional documentation. ### **Adaptability** * Continuous learning and adaptation to new technologies. * Flexibility in response to shifting priorities. * Ability to understand business processes and identify improvement opportunities. ### **Leadership** * Promotion of ideas, coordination of activities, and planning of deliverables. * Leadership of technology implementations (from PoC to support model). * Development of materials and delivery of training (Agile methodology). * Experience leading and mentoring technical teams. * Alignment of technical solutions with business strategic objectives. * **Preferred Qualifications (Nice to Have – with willingness to learn)** * Knowledge of ETL and replication technologies (SAP BODS, SLT, Syniti). * Experience in Data Governance, Data Standards, Data Quality, and Data Taxonomies. * SQL and variants. * Data modeling (physical and logical), ER diagrams, data dictionary, and data map. * Tools: SSMS, SSIS, TOAD, Access, Excel, Info Steward, Data Services, Data Virtualization. * Experience with BI and data visualization tools. * Knowledge of programming languages such as VBA, Python, and XML. * Knowledge of User Centered Design (UX).