Description

You will own the quality assurance lifecycle for data pipelines, transformations, and BI reporting systems.

This role is hybrid.

Responsibilities

• Design and execute test strategies for ETL pipelines, data transformations, and BI dashboards.
• Conduct manual and automated testing to validate Power BI dashboards for data correctness and integrity.
• Automate data validations using SQL and Python scripts to ensure consistency across data layers.
• Perform cross-system data comparisons to verify alignment between source systems and final reports.
• Maintain test documentation, including test plans and defect logs in Jira, while participating in agile sprints.

Required Skills

• 3-6 years of experience in QA roles focused on data engineering and reporting environments.
• Proficiency in SQL for querying and validating large datasets.
• Experience testing Power BI dashboards and reports.
• Familiarity with test automation frameworks like PyTest.
• Experience with ETL tools, Airflow, and data warehouses such as Snowflake or BigQuery.
• Knowledge of data quality concepts (completeness, accuracy, consistency, freshness).
• Experience with version control using Git and issue tracking in Jira.

Preferred Skills

• Strong analytical and problem-solving capabilities.

Key Skills

Education

Any Graduate