Administrateur principal de plateformes de données chez EDC, société d’État aidant les entreprises canadiennes à réussir à l’étranger. Conception, exploitation et gouvernance de plateformes de données infonuagiques.
About the role
- Senior Data Engineer at JLL leveraging advanced technical expertise for AI-powered solutions. Designing frameworks and mentoring engineers to achieve strategic business outcomes.
Responsibilities
- Design and build advanced reusable and automated frameworks for enterprise-scale data processing and analytics
- Architect comprehensive data solutions integrating multiple Azure services, AI capabilities, and cloud technologies aligned with strategic business goals
- Lead complex technical problem-solving initiatives, root cause analysis, and strategic decision-making for critical data systems
- Mentor junior and intermediate data engineers on advanced concepts, best practices, and emerging technologies
- Collaborate with senior stakeholders to influence business requirements and align technical solutions with enterprise objectives
- Develop AI-powered solutions and automation frameworks that drive measurable business outcomes
- Champion data engineering best practices, standards, and innovation across the organization through thought leadership
Requirements
- Bachelor's degree in Computer Science, Information Systems, Mathematics, Statistics, or related quantitative discipline
- 5-8 years of experience in data engineering with proven track record of technical leadership and enterprise-scale solution delivery
- Expert Python programming skills including inheritance, reflection, meta-programming, and advanced design patterns
- Deep proficiency in Azure data services (Databricks, Azure Functions, Event Hubs) and cloud-native architecture
- Advanced expertise in relational database design, star schema modeling, and data warehousing concepts
- Proven experience implementing AI-powered solutions and automation frameworks at enterprise scale
- Demonstrated experience mentoring engineers and influencing technical strategy with measurable impact
- Master's degree in Computer Science, Data Science, or related technical discipline (preferred)
- Expert knowledge of Apache Spark, PySpark, Kafka, and distributed computing concepts (preferred)
- Experience with microservices architecture and full-stack data solution development (preferred)
- Strong system design and architecture skills for complex, cross-functional data platforms (preferred)
- Track record of driving process improvement and technical innovation in enterprise environments (preferred)
- Advanced data visualization and storytelling skills for building stakeholder consensus (preferred)
- Experience leading strategic data engineering initiatives that shape organizational direction (preferred)
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