Description: What you need to have: * SQL knowledge for optimizing complex data processing workflows. * Proficiency in data modeling techniques to design efficient data schemas. * Extensive experience with data virtualization tools such as Denodo for federated data access. * Proficiency in Teradata for data warehouse management and large-scale analytics. * Advanced knowledge of Databricks for building and managing big data pipelines. * Leadership skills to lead data engineering initiatives and guide team members. * Strategic thinking to architect scalable and efficient data solutions. * Excellent communication and stakeholder management skills across all organizational levels. * Ability to navigate complex technical challenges and deliver effective solutions. * Resilience and adaptability to thrive in a dynamic, fast-paced environment. What you will do: * Lead the development of highly complex data pipelines, optimizing workloads and ensuring efficient, scalable, and low-cost data delivery. * Define technical standards and best practices for data ingestion, transformation, versioning, and publication, promoting consistency and governance. * Serve as a technical mentor, supporting the development of junior engineers and fostering a culture of technical excellence. * Monitor and tune pipeline performance, ensuring SLA adherence, resilience, and reliability of solutions. * Ensure compliance with data security and governance policies, acting preventively and remedially. * Participate in strategic data architecture decisions, influencing platform evolution and adoption of new technologies. * Lead continuous improvement initiatives, proposing innovative solutions to technical and operational challenges. * Represent the area in technical and strategic forums, promoting integration with other departments and contributing to the organization’s analytical maturity. 2512240202491933706