Must Have
At least 10+ years of work experience in Quality Engineering (Testing) in Data platforms
Canadian Banking domain experience
Experience in leading and testing large scale, complex Data Modernization initiatives
Led Data Platform migration projects such as from Cognos to PowerBI, etc.
Automation first mindset
Coordinating with Data Engineering, Infrastructure, other Technical teams, etc.
Experience working in a matrix organization
Stakeholder management across multiple areas such as Business, Infrastructure, Network, IT Custodians, Development, etc.
Required Skills
In-depth knowledge in testing Azure Databricks, Azure ADLS Gen2, Azure Data Factory, Azure PowerBI, SQL Server
Excellent coding skills in Python, PySpark, Scala, SQL, Java
Excellent analytical and problem-solving skills,communication skills
Knowledge in Data testing, ETL testing, implementation of Automation test frameworks in Data platforms
Knowledge in Data governance, Data pipeline framework, Data ingestion, Data ops, Data profiling, Unity catalog, etc.




Proactive in identifying gaps and raising issues; Self-motivated, possessing initiative to get things done with high quality
Job description
Identify, prepare and develop a comprehensive Test strategy/approach to test Azure Databricks ecosystem
Create and maintain QE documentation
Coordinate, perform or lead UAT, Business and E2E testing activities
Design, develop, and maintain automated Data test framework, engineering pipelines and scripts
Identify performance bottlenecks and provide support to Performance and Security testing
Communicate and plan with development teams and stakeholders
Track & plan QE testing progress and provide analysis & metrics on the QE effort
Log and track detailed product defects and support the RCA identification
Coach and provide mentorship to the testing team, and not afraid to get hands dirty
Be the single point of contact for all Data testing related activities
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📌 Test Lead Azure Databricks London
🏢 nugget.ai
📍 London