Intermediate Technology Specialist, Data Developer
Equitable Life of Canada View all jobs
- Waterloo, ON
- Temporary
- Full-time
- Supporting the implementation of corporate policies, standards, and procedures that ensure effective architecture, governance, and management of technical systems.
- Collaborating with Business and IT teams on solution design, development, and quality management across shared infrastructure and applications.
- Improving system and product quality by identifying issues, performing maintenance, and implementing solutions in partnership with internal and external teams.
- Conducting hands-on configuration, troubleshooting, maintenance, upgrades, and replacement of hardware and/or application software.
- Maintaining internal processes and quality documentation to uphold established standards.
- Inspecting systems and workflows to identify opportunities for improved efficiency and performance.
- Monitoring technology capacity, performance, and operational availability to ensure integrity and reliability.
- Providing technical guidance to peers and end-users to support the continuous delivery of shared solutions.
- Following established operational processes and identifying gaps or risks that could expose the organization to operational issues.
- Supporting specialized work related to big data, database design, data systems, and analytical architecture.
- A minimum of 3+ years of IT experience.
- A post-secondary degree or an equivalent combination of education and experience in computer science, computer systems engineering, software engineering, or a related discipline.
- SQL Server tool certifications relevant to the specialty area.
- Strong technical skills across relevant sub-specialties, including data pipelines, data architectures, and optimized data sets.
- Experience with data warehouse administration or data system architecture.
- Proficiency with object-oriented scripting languages such as Python, Java, or C#.
- Expertise in data modelling and building data warehouses, including conceptual, logical, and physical data models for relational database systems.
- Ability to research and resolve complex or unique technical problems.
- Strong communication, collaboration, and problem-solving skills, with the ability to synthesize complex information for varied audiences.
- A growth mindset with a proactive approach to feedback, continuous improvement, and innovative thinking.
- Experience with modern data and development tools, including Azure, Synapse, MS DevOps, PySpark, Python, stored procedures, and developing APIs.
- Career Growth: Regular learning sessions and development opportunities
- Total Rewards: Allowance provided in place of vacation pay and benefits
- Flexibility: Healthy work-life balance with employee wellness always top of mind, complemented by a “dress for your day” approach
Department: IT Data & Analytics
Term: Temporary Full-Time, Nine (9) Month Contract