Test Engineer - Data
$105k - $135k per yearTEEMA Group
Job Title: Test Engineer – DataJob ID: 90661
Location: Toronto, Ontario
Overview:Our client provides specialist financial services to alternative investment customers and private clients worldwide. Continuous investment in learning means you will work with people who are among the best in the industry. This is an opportunity to excel in an environment that genuinely supports your personal and professional development. As a Test Engineer – Data, you will be responsible for developing and implementing automated testing frameworks for Databricks-based solutions, data pipelines, and data quality validation. You will work closely with data engineering teams to ensure data accuracy and reliability across our Lakehouse architecture.
What you will be doing:
Data Pipeline Testing
Automate testing for ETL/ELT processes in Databricks
Implement Spark job testing and optimization validation
Create test cases for data ingestion and processing workflows
Develop automated checks for data transformations
Test Unity Catalog features and access controls
Databricks Testing
Design and implement automated testing for Databricks notebooks and workflows
Create test frameworks for Delta Lake tables and ACID transactions
Develop automated validation for structured streaming pipelines
Validate Delta Live Tables implementations
Quality Assurance
Design and execute data quality test strategies
Implement automated data reconciliation processes
Develop performance testing for large-scale Spark jobs
Monitoring & Reporting
Implement pipeline monitoring test frameworks
Create automated test dashboards
Generate quality metrics and testing reports
Maintain comprehensive test documentation
What you must have:
Educational Background
Bachelor’s degree in Computer Science, Data Science, or related field
Relevant certifications in Databricks or data testing are a plus
Technical Experience
2+ years hands-on experience with Databricks (Spark)
Strong programming skills in Python (PySpark) and SQL
Experience with data testing frameworks and tools
Proficiency with AI coding agents such as Claude Code, Cursor, Kiro
Knowledge of AWS services (S3, Glue, Lambda)
Understanding of Delta Lake and Lakehouse architecture
Experience with version control systems (Git)
Additional Skills
Strong analytical and problem-solving abilities
Experience with large-scale data processing
Knowledge of data quality best practices
Understanding of data governance and compliance requirements
Experience with Agile methodologies
Platform Knowledge
Databricks workspace and notebook development
Delta Lake and Delta Live Tables
Unity Catalog for governance testing
Spark optimization and performance testing
Salary/Rate Range:CAD $105,000 to CAD $135,000
Other Information:
Hybrid: 3 days/week onsite downtown Toronto
40 hour work week
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Location: Toronto, Ontario
Overview:Our client provides specialist financial services to alternative investment customers and private clients worldwide. Continuous investment in learning means you will work with people who are among the best in the industry. This is an opportunity to excel in an environment that genuinely supports your personal and professional development. As a Test Engineer – Data, you will be responsible for developing and implementing automated testing frameworks for Databricks-based solutions, data pipelines, and data quality validation. You will work closely with data engineering teams to ensure data accuracy and reliability across our Lakehouse architecture.
What you will be doing:
Data Pipeline Testing
Automate testing for ETL/ELT processes in Databricks
Implement Spark job testing and optimization validation
Create test cases for data ingestion and processing workflows
Develop automated checks for data transformations
Test Unity Catalog features and access controls
Databricks Testing
Design and implement automated testing for Databricks notebooks and workflows
Create test frameworks for Delta Lake tables and ACID transactions
Develop automated validation for structured streaming pipelines
Validate Delta Live Tables implementations
Quality Assurance
Design and execute data quality test strategies
Implement automated data reconciliation processes
Develop performance testing for large-scale Spark jobs
Monitoring & Reporting
Implement pipeline monitoring test frameworks
Create automated test dashboards
Generate quality metrics and testing reports
Maintain comprehensive test documentation
What you must have:
Educational Background
Bachelor’s degree in Computer Science, Data Science, or related field
Relevant certifications in Databricks or data testing are a plus
Technical Experience
2+ years hands-on experience with Databricks (Spark)
Strong programming skills in Python (PySpark) and SQL
Experience with data testing frameworks and tools
Proficiency with AI coding agents such as Claude Code, Cursor, Kiro
Knowledge of AWS services (S3, Glue, Lambda)
Understanding of Delta Lake and Lakehouse architecture
Experience with version control systems (Git)
Additional Skills
Strong analytical and problem-solving abilities
Experience with large-scale data processing
Knowledge of data quality best practices
Understanding of data governance and compliance requirements
Experience with Agile methodologies
Platform Knowledge
Databricks workspace and notebook development
Delta Lake and Delta Live Tables
Unity Catalog for governance testing
Spark optimization and performance testing
Salary/Rate Range:CAD $105,000 to CAD $135,000
Other Information:
Hybrid: 3 days/week onsite downtown Toronto
40 hour work week
#J-18808-Ljbffr
Vacancy posted 1 hour ago
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