Must HaveAt least 10+ years of work experience in Quality Engineering (Testing) in Data platformsCanadian Banking domain experienceExperience in leading and testing large scale, complex Data Modernization initiativesLed Data Platform migration projects such as from Cognos to PowerBI, etc.Automation first mindsetCoordinating with Data Engineering, Infrastructure, other Technical teams, etc.Experience working in a matrix organizationStakeholder management across multiple areas such as Business, Infrastructure, Network, IT Custodians, Development, etc.Required SkillsIn-depth knowledge in testing Azure Databricks, Azure ADLS Gen2, Azure Data Factory, Azure PowerBI, SQL ServerExcellent coding skills in Python, PySpark, Scala, SQL, JavaExcellent analytical and problem-solving skills,communication skillsKnowledge in Data testing, ETL testing, implementation of Automation test frameworks in Data platformsKnowledge 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 qualityJob descriptionIdentify, prepare and develop a comprehensive Test strategy/approach to test Azure Databricks ecosystemCreate and maintain QE documentationCoordinate, perform or lead UAT, Business and E2E testing activitiesDesign, develop, and maintain automated Data test framework, engineering pipelines and scriptsIdentify performance bottlenecks and provide support to Performance and Security testingCommunicate and plan with development teams and stakeholdersTrack & plan QE testing progress and provide analysis & metrics on the QE effortLog and track detailed product defects and support the RCA identificationCoach and provide mentorship to the testing team, and not afraid to get hands dirtyBe the single point of contact for all Data testing related activities#J-18808-Ljbffr

📌 Test Lead (Azure- Databricks) (Toronto)
🏢 nugget.ai
📍 Toronto