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We are seeking an Intermediate Quality Assurance (QA) Analyst to join our Data Management and Operations team in Information Management department. You will play a key role in ensuring data accuracy and quality within our Big Data and Data Warehouse environments. Our team leverages Scala, SQL, Tableau, StreamSets, Hadoop, and Spark to deliver trusted data solutions across the organization.
Accountabilities will include:
Creating test plans, schedules and strategies; developing test scripts and test data requirements; use modern test tools to execute tests
Understanding of system architecture, test automation and performance testing at an intermediate level
Document test results, objectives, data sets and status reports
Provide technical guidance and assistance to test teams
Clearly communicate business requirements and defects to stakeholders
Conduct walkthrough of test artifacts to various stakeholders
Create and execute automated acceptance tests leveraging appropriate tools.
Position Requirements:
To make an immediate contribution in this role, you will bring demonstrated experience in the above mentioned activities, as well as:
3- 5 years of experience in software quality assurance, preferably in a data-focused or analytics environment.
Strong knowledge of SQL (writing complex queries, validating datasets, performing joins, aggregations, and data reconciliation).
Hands-on experience with testing data pipelines, ETL processes, and reporting systems.
Ability to design and execute test plans, test cases, and regression suites for data validation and functional testing.
Familiarity with data warehouses, relational databases, and large datasets.
Experience with test automation for data validation (e.g., Python, PySpark, or automation frameworks is an asset).
Understanding of data governance, data quality, and controls in financial or enterprise reporting contexts.
Strong analytical skills and attention to detail to identify data anomalies, inconsistencies, and edge cases.
Excellent communication skills to collaborate with business analysts, data engineers, and visualization/reporting teams.
Experience with Agile/Scrum methodology and working in cross-functional teams
Understanding of object oriented programming such as Java, Scala, Python.
Knowledge of AWS will be an asset.
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