Senior Data Quality Engineer - Zonda - Toronto, ON
Core
Build and operate testing and validation capabilities to ensure data delivered through the enterprise data platform is accurate, complete, consistent, and fit for business use.
Role type
Senior IC Data Quality Engineer
Builds
Reusable testing frameworks, curated test data, and automated validation suites for ETL/ELT pipelines and data products.
Domain
Real Estate / Data Engineering
Deliverable
production ML models | product features | dashboards & analysis | infrastructure
Required skills
ETL/ELT pipeline testing, source-to-target reconciliation, regression testing, large-dataset validation, advanced SQL, Python scripting, automated data-testing framework design, test data management, defect analysis, root-cause investigation
Preferred skills
Snowflake, dbt, Apache Airflow, AWS Glue
Technologies
Snowflake, AWS Aurora/RDS, Amazon MWAA, Apache Airflow, dbt, AWS Glue, Amazon S3, DataHub, Grafana, CloudWatch
Responsibilities
Design and execute testing strategies for ETL/ELT pipelines and transformations; Perform source-to-target reconciliation to validate completeness, accuracy, and business rules; Create and maintain curated test datasets representing common scenarios and edge cases; Develop reusable automated validation frameworks using SQL and Python; Partner with business experts to translate definitions into executable test scenarios; Maintain risk-based regression suites and validate critical data releases before production publication; Establish data-testing standards and mentor engineering teams on quality practices.
Seniority
Senior, hands-on IC
