Database Testing Jobs

1 System Analysis and Design: Understanding business processes and requirements to design ERP solutions that align with organizational goals.2 Customization and Configuration: Tailoring ERP systems to meet specific business needs by customizing modules, workflows, and configurations.3 Integration: Integrating ERP systems with other enterprise applications, databases, and third-party systems to ensure seamless data flow and process automation.4 Development: Writing code and scripts to develop custom features, functionalities, and reports within the ERP system.5 Testing: Conducting thorough testing, including unit testing, integration testing, and user acceptance testing, to ensure the quality and reliability of ERP solutions.6 Deployment: Planning and executing ERP system deployments, including data migration, system upgrades, and user training7 Maintenance and Support: Providing ongoing maintenance, troubleshooting, and support for ERP systems, including resolving issues, implementing patches, and optimizing performance.8 Documentation: Creating technical documentation, user guides, and training materials to support ERP system implementation and usage.9 Security: Implementing security measures to protect sensitive data within the ERP system, including user access controls, encryption, and compliance with data privacy regulations.10 Continuous Improvement: Staying updated on the latest ERP trends, technologies, and best practices to continuously improve ERP solutions and drive business value11 Collaboration: Collaborating with cross-functional teams, including business analysts, project managers, and end-users, to ensure the successful delivery of ERP projects.12 Vendor Management: Liaising with ERP vendors, consultants, and service providers to leverage their expertise and support in implementing and maintaining ERP systems13 Ensure confidentiality of company and customer information.14 IT Infrastructure Management: and managing the design, implementation, and maintenance of the company's IT infrastructure, including hardware, software, networks, servers, and telecommunications systems.15 . Ensuring that the IT infrastructure meets the organization's current and future needs in terms of capacity, performance, and security.

Responsibilities:Test Planning and Design: Participate in the review of requirements and technical specifications to understand the system under test. Design and develop comprehensive test plans and test cases based on technical understanding.Test Case Development: Create detailed, well-structured test cases and test scripts covering functional, non-functional, and technical aspects of the application/system.Test Environment Setup: Assist in setting up and configuring test environments, including necessary hardware, software, and data.Test Execution: Execute test cases manually and/or using automated testing tools, document test results accurately, and identify defects.Bug Reporting and Tracking: Report defects clearly and concisely in the bug tracking system, providing detailed steps to reproduce and relevant evidence. Follow up on defect resolution.Automation Testing (If applicable): Develop and maintain automated test scripts using relevant tools and frameworks (e.g., Selenium, Appium, JUnit, TestNG). Integrate automated tests into the CI/CD pipeline (if applicable).Performance Testing (If applicable): Participate in performance testing activities using tools like JMeter or LoadRunner to identify performance bottlenecks and ensure system scalability.Security Testing (Basic): Perform basic security testing (e.g., input validation, basic vulnerability checks) and collaborate with security experts for more in-depth testing.Database Testing: Write and execute SQL queries to verify data integrity and perform database testing.API Testing: Test APIs using tools like Postman or Swagger to ensure proper functionality and data exchange.Log Analysis: Analyze application logs and system logs to identify the root cause of defects.Collaboration: Work closely with developers, business analysts, and other stakeholders to understand requirements, clarify issues, and ensure timely resolution of defectsTest Documentation: Maintain and update test plans, test cases,

Role: Quality Assurance Engineer (Data & API)SUMMARYThe Quality Assurance Engineer partners with Engineering, Data, and Developmentteams to ensure client requirements are implemented correctly and reliably acrosshighvolume data pipelines. This role reviews requirements, designs test strategies, andexecutes automated and manual validation-emphasizing shiftleft practices andrepeatable automation. Candidates are former developers or Software DevelopmentEngineer in Test (SDET) who can effectively test large datasets, craft complex SQL fordata comparisons, and collaborate within a single, shared sprint cadence.ESSENTIAL DUTIES AND RESPONSIBILITIES Configure, implement, and maintain automated testing frameworks for data and APIvalidation (DBT tests, Pytest, SQL validators). Translate JIRA user stories and acceptance criteria into comprehensive test plans,scenarios, and data validation scripts. Ensure requirements traceability by mapping test cases and validation scriptsdirectly to client requirements and acceptance criteria, maintaining cleardocumentation throughout the lifecycle. Design and execute unit, integration, smoke, regression, and endtoend tests alignedto the recommended QA & automation framework. Validate large datasets for completeness, accuracy, timeliness, lineage, and schemaconformance, author complex SQL for data comparison. Coordinate with Engineering to enable shiftleft testing - QA participates ingrooming, planning, and daily standups; quality is a shared responsibility. Assist with user acceptance testing (UAT) and production validation, includingpostrelease smoke testing and regression cycles. Analyze test outputs, identify defects, document issues, and drive rootcauseanalysis; champion environment parity (VAL mirrors PROD). Contribute to release governance: freeze windows, QA gates, rollback plans, andrelease logs; ensure test evidence is captured. Continuously improve tools, templates, and processes; propose JIRA automation toautocreate QA stories from engineering stories. Develop domain knowledge of client data products, pipelines, integrations, and KPIs. Maintain comprehensive test documentation, including test cases, scripts, andresults, to support audits and compliance. Conduct performance and security testing as required to ensure robust, scalable,and secure solutions. Advocate for user experience and usability in all testing activities.AGILE & COLLABORATION EXPECTATIONS Active participant in Agile ceremonies (grooming, planning, standups, demos, retros)within a single, shared sprint cadence. Story readiness includes defined test criteria and data availability; QA estimatestracked alongside development. Promote predictable velocity by integrating automated tests into CI; definition ofdone includes -tested and validated.- Stay current with emerging QA tools, technologies, and best practices; proactivelyrecommend improvements to processes and frameworks.REQUIRED QUALIFICATIONS Former software developer or SDET with handson coding experience (Pythonpreferred). Expertise in SQL and relational databases; able to design complex validationqueries for large datasets. Demonstrated experience testing data pipelines, ETL/ELT workflows, and APIs inhighvolume environments. Practical knowledge of Airflow (or similar orchestration), DBT, and CI systems;experience validating DAG executions. Proficiency with automated testing tools (Selenium/Cucumber/Playwright for UIwhere applicable; Pytest for services; DBT for data). Proficiency with version control systems (e.g., Git) and defect tracking tools (e.g.,Jira, Azure DevOps). Experience with JIRA and Agile development methodology; comfortable with sharedsprint delivery. Strong critical thinking; challenges ambiguous requirements and drives clarity inacceptance criteria. Excellent communication skills; able to partner with Product Owners and Engineersto define testable stories.PREFERRED / DOMAIN EXPERIENCE Experience with liveevent data, broadcast schedules, media assets, or fanengagement platforms. Experience with bigdata validation (Snowflake/BigQuery/Redshift) and performancetesting of queries at scale. Familiarity with API contract testing, data lineage tools, and dataset comparisonframeworks. ISTQB or equivalent certification is a plus. Experience with cloud-based data platforms (AWS, Azure, GCP) is a plus.