Test Engineer – Data

TEEMA Group; Toronto; Hybrid; CAD 105,000 - 135,000; Full time

Benefits offered by this job

Hybrid work

Downtown Toronto onsite

Job summary

TEEMA Group is seeking a Test Engineer – Data in Toronto, Ontario. You will develop and implement automated testing frameworks for Databricks-based data solutions and data quality validation, collaborating with data engineering teams to ensure data accuracy across Lakehouse architectures.

You will design and execute tests for data pipelines, Delta Lake tables, Unity Catalog governance, and streaming workloads, while contributing to monitoring dashboards and QA processes within a hybrid work

Qualifications

• Bachelor's degree in Computer Science, Data Science, or related field
• Databricks or data testing certifications are a plus
• Strong Python (PySpark) and SQL skills
• 2+ years hands-on Databricks (Spark) experience
• Experience with data testing frameworks and tools
• Knowledge of AWS S3, Glue, Lambda
• Understanding Delta Lake and Lakehouse architecture
• Experience with Git
• Familiarity with Delta Live Tables and Unity Catalog

Responsibilities

• Automate testing for ETL/ELT processes in Databricks and Spark jobs
• Develop automated checks for data ingestion, transformations, and quality
• Design test frameworks for Databricks notebooks, Delta Lake tables, and streaming pipelines
• Create data quality test strategies and performance tests for large-scale jobs
• Build pipeline monitoring test frameworks and dashboards
• Maintain comprehensive test documentation

Job description

Job Title: Test Engineer – Data

Job 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