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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in data validation processes, including ingestion, transformation, and movement across various data layers. Proficient in SQL, Python, and PySpark, with a strong focus on data quality assurance and testing methodologies.
Highest-signal resume keywords
ETL/ELT TestingData Quality ValidationSQL ProficiencyAzure Databricks ExperienceGovernment of Canada Security Clearance
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data ValidationSource-to-Target MappingTransformation TestingBatch ValidationIncremental ValidationCDC ValidationData Lineage ValidationData ProfilingAnalytical SkillsTroubleshooting Skills
Soft Skills
Analytical ThinkingProblem-Solving
Tools & Technologies
Azure Data Lake StorageAzure Data FactoryDelta LakeKafkaEvent HubAzure DevOps
Certifications & Qualifications
Government of Canada Security Clearance
Industry Keywords
Data WarehouseData LakeLakehouse TestingStructured DataSemi-Structured Data
Tech Stack
Tools & technologiesAzureETLKafkaPySparkPythonSQL
About the role
Key responsibilities & impact- Validate ingestion, transformation, and movement of data across Bronze, Silver, and Gold layers
- Test data completeness, accuracy, conformity, lineage, business rules, and exception handling
- Analyze source-to-target mappings and validate schema and transformation logic
- Execute batch, incremental, and CDC validation activities
- Perform large-volume data validation and defect investigation
- Validate data lineage, traceability, and auditability requirements
- Support quality assurance for structured and semi-structured data
Requirements
What you’ll need- Current secret level Government of Canada Security Clearance required at the time of application
- Experience with ETL/ELT, data warehouse, data lake, and lakehouse testing
- Strong knowledge of data quality validation, source-to-target mapping, and transformation testing
- Proficiency in SQL, Python, and PySpark
- Experience with Azure Databricks, Azure Data Lake Storage, Azure Data Factory, and Delta Lake
- Familiarity with Kafka/Event Hub and Azure DevOps
- Experience using data-quality and profiling tools
- Strong analytical and troubleshooting skills
Benefits
Comp & perks- Collaborative environment with knowledge-sharing and mentorship
- Coaching and professional growth opportunities
- Inclusive hiring practices and recruitment-process accommodation support