Test Lead, Data Platform – Quality Engineering
? Must Have
o At least 10+ years of work experience in Quality Engineering (Testing) in Data platforms
o Canadian Banking domain
o Experience in leading and testing large scale, complex Data Modernization initiatives
o Led Data Platform migration projects such as from Cognos to PowerBI, etc.
o Automation first mindset
o Coordinating with Data Engineering, Infrastructure, other Technical teams, etc.
o Experience working in a matrix organization
o Stakeholder management across multiple areas such as Business, Infrastructure,
Network, IT Custodians, Development, etc.
? Required Skills
o In-depth knowledge in testing Azure Databricks, Azure ADLS Gen2, Azure Data Factory,
Azure PowerBI, SQL Server
o Excellent coding skills in Python, PySpark, Scala, SQL, Java
o Excellent analytical and problem-solving skills, communication skills
o Knowledge in Data testing, ETL testing, implementation of Automation test frameworks
in Data platforms
o Knowledge in Data governance, Data pipeline framework, Data ingestion, Data ops, Data
profiling, Unity catalog, etc.
o Proactive in identifying gaps and raising issues; Self-motivated, possessing initiative to
get things done with high quality
? Job description
o Identify, prepare and develop a comprehensive Test strategy/approach to test Azure
o Create and maintain QE documentation
o Coordinate, perform or lead UAT, Business and E2E testing activities
o Design, develop, and maintain automated Data test framework, engineering pipelines
o Identify performance bottlenecks and provide support to Performance and Security
o Communicate and plan with development teams and stakeholders
o Track & plan QE testing progress and provide analysis & metrics on the QE effort
o Log and track detailed product defects and support the RCA identification
o Coach and provide mentorship to the testing team, and not afraid to get hands dirty
o Be the single point of contact for all Data testing related activities