• Effective communication skills with an ability to explain technical concepts to developers, product managers, and business partners
• Excellent problem solving and critical thinking skills
• Ability and desire to work with a team of people solving complex problems that often require independent research with minimal supervision
• Knowledge of data warehousing, OLAP, multi-dimensional, star and snowflake schemas
• Knowledge and experience with database design principles including referential integrity, normalization, and indexing to support application development
• Automated testing of multi-tenant Azure Data Factory Data Pipeline for ELT
• Data Ingestion Automated testing of multi-tenant Azure Data Lake Gen 2
• Advanced hands-on experience testing DW and automated testing of data security (RBAC, RLS, CLS, Data Masking)
• Advanced hands-on experience with automated testing of Azure APIs (Azure AD Provisioning API, Azure Data Lake API, Azure Data Factory API)
• Advanced hands-on experience with automated testing of Power BI embedded, PowerShell, Azure CLI, ARM templates
• Education: Bachelor’s degree; Computer Science, MIS or Mathematics are preferred majors.
• Experience with Infosphere Data Quality Suite, Talend or Informatica (Talend or Infosphere strongly preferred)
• Understanding of Data Governance principles and how Data Governance relates to Data Quality Management
• Strong data modelling skills
• Ability to query and analyse data in a database management or file system
• A mastery of how data quality is measured, including understanding of completeness, uniqueness, validity, accuracy, integrity, timeliness, etc.
• Ability to perform root cause analysis to develop best DQM solutions