Key Responsibilities:

• Design, develop, and execute test plans, test cases, and test scripts for end-to-end testing of database and ETL applications.
• Validate ETL processes, data migration, and data transformation activities across various systems.
• Write complex SQL queries to perform data validation and integrity checks.
• Identify, document, and track defects related to databases and ETL processes.
• Work closely with developers, data engineers, and business analysts to ensure data accuracy and consistency.
• Automate database and ETL testing processes using industry-standard tools and frameworks.
• Analyze test results and provide detailed reports on defects and test coverage.
• Ensure compliance with data security and regulatory requirements.
• Participate in Agile development processes and contribute to sprint planning and reviews.
• Work effectively in a multi-vendor environment, collaborating with diverse teams and stakeholders.
• Apply risk-based testing and assessment methodologies to prioritize testing efforts and mitigate potential risks.

Required Skills and Qualifications:

• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• 5+ years of experience in end-to-end testing with a focus on database and ETL processes.
• Expertise in SQL queries, stored procedures, and database testing methodologies.
• Strong knowledge of ETL tools such as Informatica, Talend, SSIS, or DataStage.
• Experience with data warehousing concepts and testing strategies.
• Hands-on experience with test automation tools for database testing (e.g., Selenium, Python, dbUnit, or similar frameworks).
• Strong analytical and problem-solving skills.
• Excellent communication and collaboration skills.
• Experience working in Agile environments is a plus.
• Active security clearance is required for this role.
• Knowledge of cloud-based database solutions (AWS, Azure, Google Cloud) is an advantage.

Preferred Qualifications:

• Experience with big data technologies (Hadoop, Spark, Snowflake) is a plus.
• Certification in database technologies or testing methodologies.
• Knowledge of scripting languages like Python or Shell scripting for test automation.

Work Environment:

• Hybrid/Remote flexibility based on project requirements.
• Collaboration with cross-functional teams in a dynamic, fast-paced environment.
• Opportunity to work with modern data technologies and cloud platforms.