About the Job:

Job Title: Sr QA Automation Engineer/Consultant

Location: Toronto or Halifax ,Canada(2 Days Onsite 3 Days Remote)

Title: Sr QA Automation Engineer (Cloud). IDEALLY AI/ML person, but if they worked with, Cloud, Data Bricks, Python, Azure, AWS, CI/CD, then this works instead.

• Years of Exp: Looking for someone Sr person with 5+ years minimum. More is better.

Additional Remarks: Need a strong QA Automation Engineer or QA person who has worked with AI/ML new tech. AI/ML is nice to have, if they don't have this need a QA Automation person with EXCELLENT Python skills. Need python coding, PySpark or Spark. Also, if no AI/ML they need cloud or DevOps Experience with any of the following (AWS, Azure, DataBricks, CI/CD, Docker, Kubernetes). Not all just a combination of these skills in addition to the Sr QA work with Python

WHAT WILL YOU DO?

• Implement and champion best practices in Quality engineering
• Creating and maintaining end to end test automation frameworks on-prem and in cloud using Python.
• Suggest and implement improvements to the test automation processes and tools.
• Train and mentor junior members of the team to help solidify their automation and testing expertise.
• Manual testing is to be expected, but emphasis will be placed on devising and implementing test automation.
• Develop standardized procedures - test strategies and plans, regression, integration, end to end testing, automated test cases.
• Working with Data Bricks, Snowflake and Azure, testing data hops through the different stages of transformation, working with Unity catalogs, and workflows.
• Continuously identify potential issues, conflicts, and risks. Analyze, mitigate, and escalate where appropriate.
• Collaborate and contribute on cross-functional enterprise initiatives and manage the effective implementation of assigned deliverables.

Must have:

• Undergraduate degree in Technology
• Very good Python-coding skills, with focus on Spark/PySpark
• Strong QA or Development background with focus on delivering excellent, well-tested, quality software into production, taking on the role of gatekeeper to production.
• Must have implemented and be very familiar with CI/CD pipelines.
• Strong communicator with good organizational and time management capabilities, able to establish good working relationships across teams.
• Deadline-driven and results-oriented; able to meet consistently high-quality standards while handling a variety of tasks and deadlines simultaneously.

Nice-to-have:

• Post Graduate degree in Data Science.
• Experience working with Models
• Experience developing or testing AI Frameworks.
• Cloud-related experience