Data & Databricks Test Automation Engineer | Toronto, CA

The Citco Group Limited; Toronto; On-site; CAD 70,000 - 90,000; Full time

Job summary

A leading global financial services provider is seeking a Data & Databricks Test Automation Engineer to develop and implement automated testing frameworks for Databricks solutions. The ideal candidate will have a strong background in Python (PySpark), SQL, and data testing frameworks, with 2+ years of experience in Databricks. This role focuses on ensuring the accuracy and reliability of data solutions, delivering quality assurance for financial services operations.

Benefits

Flexible working arrangements

Training and education support

Inclusive work culture

Qualifications

• 2+ years hands-on experience with Databricks (Spark).
• Relevant certifications in Databricks or data testing are a plus.
• Understanding of Delta Lake and Lakehouse architecture.

Responsibilities

• Develop and implement automated testing frameworks for Databricks solutions.
• Design and execute data quality test strategies.
• Implement automated data reconciliation processes.

Skills

Programming skills in Python (PySpark)

SQL knowledge

Analytical skills

Problem-solving abilities

Experience with large-scale data processing

Education

Bachelor's degree in Computer Science, Data Science, or related field

Tools

Databricks

AWS (S3, Glue, Lambda)

Data testing frameworks and tools

Version control systems (Git)

Job description

Overview

Data & Databricks Test Automation Engineer

Citco is a global leader in financial services, delivering innovative solutions to some of the world's largest institutional clients. We are seeking a Test Automation Engineer specializing in Databricks and data platforms to ensure the quality and reliability of our data solutions.

Responsibilities

As a Data & Databricks Test Automation Engineer, 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.

Key Responsibilities :

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
• Test MLflow integrations and model tracking
• Validate Delta Live Tables implementations

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

AWS Integration Testing

• Implement automated testing for Databricks-AWS integrations
• Create test cases for S3, Glue catalog, and Lambda functions
• Validate data lake storage and access patterns
• Test secure networking configurations

Quality Assurance

• Design and execute data quality test strategies
• Implement automated data reconciliation processes
• Develop performance testing for large-scale Spark jobs
• Create cluster configuration testing

Monitoring & Reporting

• Implement pipeline monitoring test frameworks
• Create automated test dashboards
• Generate quality metrics and testing reports
• Maintain comprehensive test documentation

Qualifications

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
• 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
• MLflow for ML pipeline testing
• Unity Catalog for governance testing
• Spark optimization and performance testing

Our Benefits

Your well being is of paramount importance to us, and central to our success. We provide a range of benefits, training and education support, and flexible working arrangements to help you achieve success in your career while balancing personal needs. Ask us about specific benefits in your location.

We embrace diversity, prioritizing the hiring of people from diverse backgrounds. Our inclusive culture is a source of pride and strength, fostering innovation and mutual respect.

Citco welcomes and encourages applications from people with disabilities. Accommodations are available upon request for candidates taking part in all aspects of the selection.

Boost your career

Find thousands of job opportunities by signing up to eFinancialCareers today.

J-18808-Ljbffr