Job Description

:

We are seeking a skilled ETL Tester with substantial hands-on experience in advanced SQL and Python. This role is open to candidates with either a Quality Assurance (QA) or Developer background, provided you can demonstrate core expertise in complex SQL operations on ETL platforms.

Key Responsibilities:

Design, develop, and execute comprehensive ETL test cases and scenarios Write and optimize advanced SQL queries for data validation, transformation, and troubleshooting Collaborate with development teams to understand business and data transformation requirements Validate large volumes of data across multiple sources and targets using advanced SQL Develop automation scripts in Python for ETL testing and process streamlining Analyze, report, and track defects; recommend solutions Participate in Agile/Scrum processes and provide expertise throughout the test life cycle

Required Skills & Qualifications:

7+ years of hands-on experience in ETL testing or related roles Strong command of advanced SQL (complex joins, window functions, query optimization, data analysis) Proficiency in Python for scripting and automation Experience with ETL tools (e.g., Informatica, Talend, DataStage, SSIS) is a plus QA professionals or Data/ETL developers with hardcore SQL expertise are welcome Ability to troubleshoot, analyze, and validate large datasets Excellent communication and interpersonal skills Bachelor's degree in Computer Science, Information Technology, or related field

Must have:

7+ years of Testing experience

Good background in ETL Testing

Good background in SQL / Db testing

Experienced with AWS services required are S3, Glue, Cloudwatch, Airflow and Athena

Mode:

Hybrid (2-3 days/week in office, Downtown Toronto; rest WFH

Job Types: Full-time, Permanent

Pay: $29.11-$42.00 per hour

Application question(s):

How many years of hands-on experience do you have in ETL testing or related data validation roles? How would you rate your proficiency in advanced SQL (e.g., complex joins, window functions, query optimization)? Do you have hands-on experience writing Python scripts for automation or data validation? Have you worked with any ETL tools (e.g., Informatica, Talend, SSIS, DataStage)? Have you validated large datasets across multiple sources (e.g., multiple schemas, files, or database types)? Are you comfortable working in a hybrid model (2-3 days per week onsite in Downtown Toronto)? How many years of experience with AWS services required are S3, Glue, Cloudwatch, Airflow and Athena? * Do you have valid authorization to work in Canada for this position?