Lead Data Engineer
Offre en anglaisThe Lead Data Engineer is responsible for designing and delivering enterprise data platforms, pipelines, and data products. They will provide technical leadership to engineering teams and oversee large-scale data initiatives within an agile environment.
- Sur place
- Canada
- Publié 17 août 2026
- 1 poste
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Résumé du poste
Required Qualifications Experience: 8+ years of experience in data engineering, software engineering, or enterprise data platform development. 3+ years of technical leadership experience leading engineering teams or large- scale data initiatives. Proven experience designing and delivering enterprise data platforms, pipelines, and data products. Experience operating within agile software development environments. Technical Skills Advanced SQL and data modeling expertise. Strong Python and PySpark development experience. Deep understanding of ETL and ELT architecture patterns. Experience implementing Master Data Management solutions. Experience building RESTful APIs and data services. Familiarity with GraphQL and modern integration approaches. Understanding of microservices-based architectures. Experience implementing event-driven and real-time data processing solutions. Strong understanding of data quality frameworks, metadata management, and data lineage concepts.
Ce que vous ferez
The Lead Data Engineer is responsible for designing and delivering enterprise data platforms, pipelines, and data products. They will provide technical leadership to engineering teams and oversee large-scale data initiatives within an agile environment.
Exigences
Candidates must have over 8 years of experience in data or software engineering, including at least 3 years of technical leadership. Proficiency in SQL, Python, PySpark, and modern data architecture patterns like ETL/ELT and microservices is required.
Compétences indiquées
- SQLSouhaitée
- GraphQLSouhaitée
- PythonSouhaitée
Autres compétences pertinentes
Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.
- SQL
- Data Modeling
- Python
- PySpark
- ETL
- ELT
- Master Data Management
- RESTful APIs
- GraphQL
- Microservices
- Event-driven Architecture
- Real-time Data Processing
- Data Quality Frameworks
- Metadata Management
- Data Lineage
- Agile Software Development
Domaines d’emploi
- Data & Analytics
- Technology
- Software
- Engineering
- Management & Leadership
Renseignements supplémentaires
- Expérience minimale
- 10+ ans
- Langue de l’offre
- anglais
- Heures de travail
- 40 heures par semaine
- Niveau d’expérience
- Mid-Senior level
- Mode de candidature
- La candidature directe est offerte