Teaching Assistant DASA 3P41 Fall D2

Brock UniversitySt. Catharines, ON
Onsite

About The Position

This job advertisement is to fill an existing vacancy for a Teaching Assistant in the CUPE4207-1 (Employee Group) for the course DASA 3P41 Storage and Retrieval of Big Data. The course focuses on the design and construction of enterprise-level systems for the storage, retrieval, and integration of big data. Students will examine distributed database architectures, data extraction/transformation/loading (ETL), replication, and concurrency control. Key topics include NoSQL, object-oriented, and multimedia databases; advanced query languages; reduction of large datasets; and the use of industry-standard tools for data processing, visualization, and interpretation. Brock University is committed to creating a respectful and equitable workplace and welcomes applications from all qualified individuals, actively encouraging applications from underrepresented groups. They are committed to inclusive and barrier-free recruitment and accommodation.

Requirements

  • Master’s degree in Information Systems and Technology, Computer Science, Advanced Database Design, Data Management or a closely related discipline
  • Exposure on big data storage and retrieval architectures, including enterprise data warehouse design and implementation, distributed databases and data replication/concurrency models, and ETL processes and data pipeline development
  • Experience in processing large-scale data using industry-standard tools, packages, or programming frameworks
  • Ability to generate and interpret data-driven visualizations for analysis

Nice To Haves

  • Practical experience with NoSQL and object-oriented database systems
  • Practical experience with multimedia databases and complex data types
  • Practical experience with advanced query languages and dataset reduction techniques
  • University-level teaching Assistantship experience in database systems, information systems, or big data technologies
  • Experience in designing and delivering instruction (in-person or online)
  • Practical experience with distributed computing frameworks (e.g., Hadoop, Spark)
  • Practical experience with scalable storage technologies (e.g., HDFS, cloud data lakes)
  • Practical experience with data integration and federation tools across heterogeneous systems
  • Familiarity with real-world applications of big data systems in industry or research contexts
  • Strong analytical and problem-solving background relevant to large-scale data infrastructure
  • Experience in assisting instructors (in-person or online) with Bright Space course platform

Responsibilities

  • Scheduled contact time with students
  • Preparation of seminar material
  • Student consultation
  • Marking or grading
  • Examination proctoring
  • Attending lectures
  • Holding office hours
  • Other course administration as may be required

Benefits

  • Compensation according to qualifications (undergraduate rate or graduate rate)
  • Compensation for additional duties at the appropriate Teaching Assistant rate
  • Flexible work arrangements where possible
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