Data Quality Analyst
Job Description
This range is provided by CONFLUX SYSTEMS. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range
CA$45.00/hr - CA$50.00/hr
Role: Data QA
Location: Toronto, CA (Hybrid)
Client: Manulife
7+ years in Data Quality Testing and Frameworks.
Key Responsibilities:
- Develop and implement test strategies, test cases, and automation scripts to validate data pipelines in Azure and Databricks environments.
- Perform data validation, reconciliation, and comparative analysis between source and target systems.
- Validate ETL/ELT pipelines built using ADF and Databricks.
- Collaborate with Data Engineers and Product Owners to understand STM (Source-to-Target Mapping) and ensure transformation logic is correctly implemented.
- Monitor and validate data quality across Delta tables and Data Warehouses.
- Identify data anomalies, document defects, and drive them to resolution with the engineering team.
- Support CI/CD pipelines by integrating data testing into DevOps workflows.
- Contribute to test data management, metadata validation, and regression testing.
- Provide regular reporting on test execution results, defect metrics, and QA health.
Required Skills:
- Proven experience in data QA/validation in cloud-based data platforms.
- Strong knowledge of Azure Data Factory, Databricks.
- Proficiency in SQL and scripting languages such as Python.
- Hands‑on experience with data profiling, data reconciliation, and schema validation.
- Understanding of SCD Type 2 and data transformation logic.
- Familiarity with DevOps tools like Azure DevOps or GitHub Actions for CI/CD integration.
- Experience working with large datasets, performance testing, and data lineage tools.
Seniority level
- Mid‑Senior level
Employment type
- Contract
Job function
- Information Technology
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