Data & Databricks Test Automation Engineer | Toronto, CA

The Citco Group Limited; Toronto; On-site; CAD 80,000 - 100,000; Full time

Job summary

A global financial services leader based in Toronto is looking for a Data & Databricks Test Automation Engineer. This role involves developing automated testing frameworks for data solutions using Databricks, ensuring high data quality and reliability across platforms. Candidates should have strong programming skills in Python and SQL, along with relevant experience in data testing within a collaborative engineering environment. The company offers a supportive and inclusive workplace culture.

Benefits

Flexible working arrangements

Training and education support

Diversity and inclusion initiatives

Qualifications

• 2+ years hands-on experience with Databricks (Spark).
• Experience with version control systems (Git).
• Strong problem-solving abilities and analytical skills.

Responsibilities

• Develop and implement automated testing frameworks for Databricks.
• Work with data engineering teams for data accuracy and reliability.
• Design and execute data quality test strategies.

Skills

Programming in Python (PySpark)

SQL

Data testing frameworks

Analytical abilities

Education

Bachelor's degree in Computer Science or related field

Certifications in Databricks or data testing

Tools

Databricks

AWS services (S3, Glue, Lambda)

Git

Job description

Data & Databricks Test Automation Engineer

Data & Databricks Test Automation Engineer

Data & Databricks Test Automation Engineer

Job Description

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:

1. 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

2. 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

3. 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

4. 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

5. Monitoring & Reporting

• Implement pipeline monitoring test frameworks

• Create automated test dashboards

• Generate quality metrics and testing reports

• Maintain comprehensive test documentation

Qualifications

1. Educational Background

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

• Relevant certifications in Databricks or data testing are a plus

2. 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)

3. 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

4. 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.