Data Solutions Engineer

4 weeks ago

Toronto, Ontario, Canada University of Toronto Full time

About the Role:

The University of Toronto is seeking a highly skilled Data Solutions Engineer to join our Academic Research & Collaborative Technologies team. As a key member of our team, you will be responsible for designing and implementing enterprise-level data solutions that enable data extraction, transformation, and modeling in support of various academic, operations, and research initiatives.

Key Responsibilities:

  • Developing and implementing architectural frameworks for complex IT systems
  • Reconciling business requirements with information architecture needs for system integration
  • Conducting data modeling for business system analysis
  • Advising on data structure designs
  • Analyzing and configuring enterprise applications and services
  • Developing, testing, and modifying programming code
  • Planning, implementing, and operating IT systems independently
  • Advising on cost, feasibility, and impact of implementation solutions

Requirements:

  • Bachelor's Degree or acceptable combination of equivalent experience
  • 8+ years of experience as a Data Architect/Data Engineer with a demonstrated ability in data modeling, ETL pipelines, data integration, and data architecture
  • 5+ years of experience in large-scale technology architecture, operations, and design-related disciplines
  • 3+ years of experience with SQL and managing large data sets using relational databases
  • 3+ years of concrete programming and scripting language experience with understanding of SDLC principles
  • Strong understanding and experience implementing cloud computing concepts, architectures, and services
  • Knowledge and experience building CI/CD pipelines using tools such as Jenkins, Developer Tools, and DevOps
  • Hands-on experience with big data technologies including Spark, Hadoop, Hive, HDFS, and Python
  • Business information requirement analysis experience with a strong understanding of project management principles
  • Solid experience with data privacy and security practices, metadata management, data governance, and access controls within an enterprise data management framework
  • Expert-level skill with SQL
  • Building ETL pipelines for large-scale data extraction, transformation, and partitioning
  • Expert data modeling and database design skills (both dimensional and relational)
  • Proficient with business intelligence and reporting/analytics tools to analyze data
  • Techniques for detecting and addressing data quality issues
  • Interacting with middleware (API gateways)
  • Writing complex, highly-optimized SQL and Python to interact with large data sets
  • Excellent analytical and problem resolution skills
  • Excellent written and verbal communications skills at both a technical and business level

Assets (Nonessential):

  • AWS/Azure Certified Solutions Architect Professional certification and/or other AWS/Azure professional certifications

About the University of Toronto:

The University of Toronto is a leading institution of learning, discovery, and knowledge creation. Our work enables the university to maintain its status as Canada's leading institution of learning, discovery, and knowledge creation. From direct support to enterprise-grade academic and administrative applications to online learning, information security, collaboration tools, and network infrastructure, our work enables the university's steadfast commitment to being an internationally significant research university with excellent undergraduate, graduate, and professional programs.

How to Apply:

Candidates who are members of Indigenous, Black, racialized, and 2SLGBTQ+ communities, persons with disabilities, and other equity-deserving groups are encouraged to apply. Please submit your application through our online portal.

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