Posted:-1 days ago|
Platform:
Hybrid
Full Time
Lead design and execution of test strategies for Extract Transform Load (ETL) pipelines, data transformations, and BI dashboards.
Analyze large data sets and identify data quality issues
Conduct manual and automated testing for data ingestion pipelines, data transformations, and business reports.
Validate Power BI dashboards and reports for data correctness, layout integrity, and performance.
Lead development and implementation of Quality Assurance Frameworks.
Automate data validations using SQL and Python (e.g., with PyTest, dbt tests, or custom scripts).
Perform cross-system data comparisons to ensure consistency across data layers and reports.
Collaborate with data engineers and analysts to understand business logic and ensure test coverage.
Maintain test documentation, including test plans, cases, and defect logs (e.g., in Jira).
Participate in agile sprints, release planning, and code reviews to embed QA early in the cycle.
Mentor fellow QA engineers and follow quality assurance best practices
Required Skills and Experience
6-10 years in QA roles, with focus on data engineering and reporting environments.
Experience in designing and developing detailed test plans and test cases, and conducting functional, non-functional, and regression testing to ensure data quality
Proficiency in SQL for querying and validating large datasets.
Experience testing Power BI reports and dashboards (or similar tools like Tableau/Looker).
Experience with test automation frameworks (e.g., PyTest, Selenium, dbt tests).
Experience with ETL tools, Airflow, and data warehouses like Snowflake or BigQuery.
Experience with version control (Git), CI/CD pipelines, and issue tracking (e.g., Jira).
Aristocrat
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