Data Tester

• Perform database testing and related activities across PostgreSQL, MongoDB, and Oracle using tools such as DBeaver and SQL Server Management Studio.

• Build and maintain automated tests using Python (pandas, pytest) and test automation frameworks.

• Validate data quality using tools such as Great Expectations and Soda.

• Test data warehouse and lakehouse solutions, including dimensional models, Star Schema, and data marts.

• Perform data reconciliation between systems using SQL, pandas, and Microsoft Excel.

• Test big data processing built on Apache Spark and PySpark.

• Test APIs using Postman.

• Test BI reports and dashboards in Power BI and Tableau.

• Validate data pipelines orchestrated with Apache Airflow.

• Integrate tests into CI/CD pipelines using Jenkins and GitHub Actions, and manage test code with Git and GitHub.

• Manage test cases, execution, and defects using Jira, Xray, and TestRail.

• Work within the SDLC following Agile methodologies and DevOps practices.

• Contribute to performance and security testing, and support compliance with regulatory standards.

Requirements

• 4-6 years or more of experience in software quality assurance and testing.

• 3 years or more in database testing and related activities

• Proven experience in Saudi enterprise or government/public sector projects.

• Proficiency in test automation frameworks and programming languages

• Strong understanding of the software development life cycle (SDLC), Agile methodologies, DevOps practices, and database testing

• Experience in performance and security testing is a strong plus.

• Knowledge of regulatory compliance standards is preferred.

• Fluency in written and spoken Arabic and English is required

Skills & Tools

• SQL: DBeaver, SQL Server Management Studio

• Python: Pandas, pytest

• Data Quality: Great Expectations, Soda

• Databases: PostgreSQL, MongoDB, Oracle

• Data Warehousing & Lakehouse: Dimensional Modeling, Star Schema, Data Mart Testing, Data Reconciliation

• Big Data: Apache Spark, PySpark

• API Testing: Postman

• Data Reconciliation: SQL, pandas, Microsoft Excel

• BI Testing: Power BI, Tableau

• Workflow Orchestration: Apache Airflow

• Version Control: Git, GitHub

• CI/CD: Jenkins, GitHub Actions

• Test Management: Jira, Xray, TestRail