Must Have
• At least 10+ years of work experience in Quality Engineering (Testing) in Data platforms
• Canadian Banking domain
• 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
Narendra Bellam
narendra.bellam@cigniti.com
