Experience:

<ul>
<li>3-6 years in QA roles, with focus on data engineering and reporting environments.</li>
</ul>

<ul>
<li>Proficiency in SQL for querying and validating large datasets.</li>
</ul>

<ul>
<li>Experience testing Power BI reports and dashboards (or similar tools like Tableau/Looker).</li>
</ul>

<ul>
<li>Experience with test automation frameworks (e.g. PyTest, Selenium, dbt tests).</li>
</ul>

<ul>
<li>Familiarity with ETL tools, Airflow, and data warehouses like Snowflake or BigQuery.</li>
</ul>

<ul>
<li>Understanding data quality concepts: completeness, accuracy, consistency, freshness.</li>
</ul>

<ul>
<li>Experience with version control (Git), CI/CD pipelines, and issue tracking (e.g. Jira).</li>
</ul>

Non-Technical Requirements:

<ul>
<li>Proven success in contributing to a team-oriented environment.</li>
</ul>

<ul>
<li>Strong analytical, problem-solving, and decision-making capabilities.</li>
</ul>

<ul>
<li>Excellent communication (written and oral) and interpersonal skills.</li>
</ul>

<ul>
<li>Self-driven and highly organized, with a proactive approach to operational excellence.</li>
</ul>

Qualifications:

<ul>
<li>Bachelor’s degree in information technology or related field; or an equivalent combination of education and experience sufficient to successfully perform the key accountabilities of the job required.</li>
</ul>

<ul>
<li>Exposure to Power BI DAX expressions and filters for deeper validation.</li>
</ul>

<ul>
<li>Experience with API testing tools (e.g., Postman, REST Assured).</li>
</ul>

<ul>
<li>Background in BI regression testing and automated report verification.</li>
</ul>

<ul>
<li>Familiarity with cloud platforms like AWS, Azure, or GCP.</li>
</ul>

Roles &amp; Responsibilities

<ul>
<li>Design and execute test strategies for ETL pipelines, data transformations, and BI dashboards.</li>
</ul>

<ul>
<li>Conduct manual and automated testing for data pipelines and reports.</li>
</ul>

<ul>
<li>Validate Power BI dashboards and reports for data correctness, layout integrity, and performance.</li>
</ul>

<ul>
<li>Automate data validations using SQL and Python (e.g. with PyTest, dbt tests, or custom scripts).</li>
</ul>

<ul>
<li>Perform cross-system data comparisons to ensure consistency across data layers and reports.</li>
</ul>

<ul>
<li>Collaborate with data engineers and analysts to understand business logic and ensure test coverage.</li>
</ul>

<ul>
<li>Maintain test documentation, including test plans, cases, and defect logs (e.g. in Jira).</li>
</ul>

<ul>
<li>Participate in agile sprints, release planning, and code reviews to embed QA early in the cycle.</li>
</ul>

QA Engineer in Apollo (UID-15883)

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Skills Required for QA Engineer

Job Description for QA Engineer

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