Elevate data integrity at Cognizant as a Senior Data Quality Engineer in Toronto. This hybrid role focuses on ETL validation, automation, and ensuring quality within Snowflake and Databricks environments. Cognizant is seeking a seasoned Data Quality Engineer for a permanent position in Toronto.
With a background in banking projects, you will leverage your expertise in SQL, Python, and automated testing. Your contributions will include enhancing test automation frameworks and guaranteeing complex data transformations meet rigorous standards. Key Responsibilities:
- Design automated test frameworks for ETL data validations
- Validate data movement within Snowflake and Databricks
- Automate testing areas using Python and Unix scripting
- Develop SQL and Python scripts for data validation
- Execute data consistency checks and ensure schema compliance Requirements:
- 7-10 years of testing experience in ETL/Data Testing
- 3+ years of automated testing experience with Python
- Proficiency in Snowflake or Databricks validation
- Solid Unix command and scripting knowledge
- Expertise in writing complex SQL queries Harness your data testing skills to enhance Cognizant's automation and data quality initiatives.
📌 Senior Data Quality Engineer in Toronto
🏢 Cognizant
📍 Toronto
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