We are looking for a Senior Data Quality Engineer to join our team for a permanent role. The ideal candidate will have deep hands-on experience with ETL, Python and a strong proficiency in SQL. You will play a critical role to enhance our automated regression testing coverage, maintain our test automation framework and ensuring that complex data transformations meet rigorous quality and performance standards within Snowflake and Databricks environments.
In this role, you will
Design, develop, and maintain automated test frameworks to validate complex ETL data transformations, source-to-target mapping, and data consistency.
Execute rigorous validation of data movement and processing within Snowflake and Databricks, ensuring optimal performance, schema compliance, and data integrity.
Automate assigned areas/features using the existing Framework and provide the test estimations, build automation scripts using Python & Unix.
Develop Python scripts to automate data validation and transformation tasks.
Develop automated test scripts using SQL, Python, or other testing frameworks.
Utilize SQL or any database querying language to compare, manage and manipulate data efficiently.
Required skills
Overall 7-10 years of overall testing experience with focus on ETL/Data Testing projects in the banking domain.
Minimum 3 years of experience in automated testing with Python.
Must have experience validating data within Snowflake or Databricks.
2+ years of hands on experience in UNIX. Strong knowledge and expertise of Unix / Linux commands and scripting including file operations, manipulation and compare.
Must have good experience with SQL database and writing complex SQL queries.
3+ years of hands on experience in SQL. Should be able to write complex joins, unions, case and aggregations. Ability to compare large datasets using SQL, Python.
Strong understanding the database concepts (indexes, constrains, normalization).
Experience in a variety of test automation frameworks/tools e.g., (Cucumber, Robot Framework, SoapUI, Selenium, TestNG) and script development using Python.
Extensive experience across the full QE lifecycle, including test planning, test case design, execution, and defect management.
Preferred skills
Familiarity with cloud data environments (e.g., AWS, Azure, or GCP).
Experience in the banking domain is a plus.
Experience with AI/ML-powered testing tools and techniques
Experience with Linux and shell scripting.
We're eager to meet people who share our mission and can make an impact in various ways. Don't hesitate to apply, even if you only meet the required skills listed. Your transferable skills and experiences matter—help us see how you the right person for this role.
Total compensation:
We regularly assess market data to ensure we offer a competitive compensation package for our associates. The base salary for this position ranges between CAD 70,000 – 90,000 per year. Where the successful candidate may fall within the range depends on relevant education, work and/or management experience and other business-related and job-necessary qualifications. This position is also eligible for Cognizant’s discretionary annual performance-based bonus, as well as benefits that support your physical, mental and financial wellbeing.
Working arrangements
We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a hybrid position requiring 4 days a week in a client or Cognizant office in Toronto, ON. Regardless of your working arrangement, we are here to support a healthy work-life balance though our various wellbeing programs.
The working arrangements for this role are accurate as of the date of posting. This may change based on the project you’re engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations.
Cognizant will only consider applicants for this position who are legally authorized to work in Canada without requiring employer sponsorship, now or at any time in the future.
Applications for this position are reviewed by our recruitment team without the use of artificial intelligence screening tools.
