Systems Testing/QA Specialist - Senior

Position: Systems Testing/QA Specialist - Senior

Location: Toronto, ON (Hybrid)

Duration: 248 Days Contract +250 Possible Extension

Job Description:

7+ years of experience in the following:

• As a lead Systems Testing/QA Specialist for various streams of work, providing guidance and oversight to junior testers, and planning, organizing and implementing testing efforts (includes preparation of test plans and coordination of test execution)
• Knowledge and understanding of testing methods in an object-oriented environment
• All stages of system testing, including strategy, selection of testing tools, test planning, preparing test cases and test data, manual and automated test execution and defect logging and tracking
• Experience with a variety of testing systems, including clinical systems testing, mission critical systems testing, and testing high volume transactional systems in highly available environments
• Knowledge and experience of structured methodologies for the development, design, implementation, maintenance of applications
• Performing functional and non-functional system testing of the following: Commercial Off-the-Shelf (COTS) solutions including testing of patches, new releases, acceptance testing of enhancement request functionality for modules of the product and other enhancements, and regression testing for implementation; in house web applications; HL7-FHIR based webservices (RESTFUL/JSON/XML); Application Programming Interfaces (API); reporting solutions; integration components, extensions, and enhancements
• Creating complete system testing documentation and artefacts such as: test strategies, test plans, test use cases, test scripts
• Develop automated test scripts (using tools such as Selenium framework)
• API testing tools to query and test interfaces at the messaging layer
• Web service queries using tools such as Rational ClearQuest, SOAP-UI, POSTMAN or via Programming Languages
• Knowledge and experience with information retrieval packages, and data queries and ad-hoc queries (using SQL) and other query languages
• Performing Accessibility testing to websites, web content and mobile applications to conform to the World Wide Web Consortium Web Content Accessibility Guidelines (WCAG) 2.0
• Tools to support Web Accessibility testing in support of AODA legislation
• Test results reports, including performance and security testing results, for use in Defect Reviews with clients, partners and project team
• Business Intelligence (BI) solution to plan, prepare, and execute testing of BI solution, including data setup/integration and validating data in the BI solution accessed through predefined analytical reports, ad-hoc reporting tools and dashboards to ensure accuracy, completeness, and data integrity of the solution
• Validating successful deployment of releases in production environments, preparing reports on testing results
• Performing business scenarios and cross-system integration testing
• Reviewing and providing input to technical and business requirements from a testing perspective, including business intelligence solutions
• Executing automated tests scripts
• Knowledge and experience working in traditional and agile teams using standard and DevOps processes and tools
• Knowledge and experience using at least one programming language
• Knowledge and experience with all phases of the Systems Development Life Cycle (SDLC)
• Reviewing business and technical documentation from a testing perspective to identify issues early in the SDLC
• Knowledge and understanding of Information Management principles, concepts, policies and practices.
• 5+ Years demonstrated experience in performing systems testing and quality assurance on:
• Scalable Medallion Data Lakehouse architectures.
• Data ingestion, transformation, and curation using Delta Lake and Databricks.
• Integrating structured and unstructured data sources into star/snowflake schemas.
• Complex ETL/ELT pipelines using Azure Data Factory (ADF), Databricks (PySpark, SQL, Delta Live Tables), and dbt.
• Orchestrated workflows and job scheduling in Azure environments.
• Relational (SQL Server, Synapse, PostgreSQL) and dimensional modeling.
• Advanced SQL query optimization, indexing, partitioning, and data replication strategies.
• Apache Spark, Delta Lake, and distributed computing frameworks in Azure Databricks.
• Parquet, ORC, and JSON formats for optimized storage and retrieval.
• Azure Data Lake Storage (ADLS), Azure Synapse Analytics, Azure SQL, Event Hubs, and Azure Functions.
• Strong understanding of cloud security, RBAC, and data governance.
• Python (PySpark), SQL, and PowerShell for data engineering workflows.
• CI/CD automation (Azure DevOps, GitHub Actions) for data pipelines.
• Data lineage, cataloging, metadata management, and data quality frameworks.
• Unity Catalog for managing permissions in Databricks environments.
• Power BI (DAX, data modeling, performance tuning).
• Integrating Power BI with Azure Synapse and Databricks SQL Warehouses.
• Familiarity with MLflow, AutoML, and embedding AI-driven insights into data pipelines.

10+ years of experience with:

• Identifying and documenting issues and risks
• Creating and maintaining defect logs and defect summary reports (using tools such as Azure DevOps, Jira or Confluence, Test rail)
• Updating tasks and project status
• Participating in QA and cross functional team meetings
• Prioritizing test execution based on business priority, defect patterns, and available testing time
• Dealing creatively with problems stemming from shared resources, such as test environments and test data
• Actively participating in walkthroughs and triage sessions.

Must have:

7+ years of experience in the following:

• All stages of system testing, including strategy, selection of testing tools, test planning, preparing test cases and test data, manual and automated test execution and defect logging and tracking
• Creating complete system testing documentation and artefacts such as: test strategies, test plans, test use cases, test scripts
• Develop automated test scripts (using tools such as Selenium framework)
• Performing Accessibility testing to conform to (WCAG) 2.0
• Test results reports, including performance and security testing results
• Validating successful deployment of releases in production environments, preparing reports on testing results
• Data ingestion, transformation, and curation using Delta Lake and Databricks.
• Complex ETL/ELT pipelines using Azure Data Factory (ADF), Databricks (PySpark, SQL, Delta Live Tables), and dbt.
• Apache Spark, Delta Lake, and distributed computing frameworks in Azure Databricks