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Senior Data Engineer

2 months ago

Kitchener, Ontario, Canada Dematic Ltd. Full time
About the Role

We are seeking a highly skilled Senior Data Engineer to lead the development of our enterprise data platform. As a key member of our team, you will be responsible for designing, building, and maintaining a scalable and secure data platform that meets the needs of our business.

Key Responsibilities
  • Design and Development: Architect and design core components of our data platform, including data storage, processing, and querying performance.
  • Microservices Architecture: Design and develop microservices-based architecture, abstracting platform and infrastructure intricacies.
  • Data Quality and Governance: Design and develop data quality frameworks and processes to ensure the accuracy and reliability of data.
  • Collaboration: Collaborate with data scientists, analysts, and cross-functional teams to design data models, database schemas, and data storage solutions.
  • Advanced Analytics and Machine Learning: Design and develop advanced analytics and machine learning capabilities on the data platform.
  • Observability and Data Governance: Design and develop observability and data governance frameworks and practices.
Requirements
  • Education: Bachelor's or Master's degree in Computer Science, Engineering, or related field.
  • Experience: 8-10 years of proven experience in modern cloud data engineering, broader data landscape experience, and solid software engineering experience.
  • Skills: Proficiency in building end-to-end data platforms and data services in GCP, experience with microservices architectures, Kubernetes, Docker, and TypeScript, NestJS, NodeJS stack.
  • Tools and Technologies: BigQuery, Cloud Functions, Cloud Run, Dataform, Dataflow, Dataproc, SQL, Python, Airflow, PubSub.
Preferred Qualifications
  • Data Mesh Architecture: Experience with Data Mesh architecture.
  • Semantic Layers: Experience building semantic layers for data platforms.
  • Scalable IoT Architectures: Experience building scalable IoT architectures.