CDM Smith is seeking a Senior Quality Assurance and Quality Control Analyst to join our Digital Engineering Solutions team. This individual will be part of the Development group within the Digital Engineering Solutions team, helping design and implement cloud-based solutions facilitating CI/CD pipelines and ensuring that software development and operations teams work collaboratively. An ideal candidate will be a critical thinker, proactive, and highly interested in the application of new technologies and methods. This individual must showcase exceptional abilities in implementing solutions for AEC initiatives that involve cutting-edge technologies. As a member of the Digital Engineering Solutions team, the Development group will be engaged in research and development and provide guidance and oversight into the AEC practices at CDM Smith, engaging in new product research and the incubation of innovative ideas that arise from around the company. The ideal candidate must have extensive experience in their field and demonstrate a commitment to continuous advancement and interest that drives measurable results.
The following are the key responsibilities for this position:
• Take responsibility for the project and work independently in a collaborative environment.
• Evaluate data across various dimensions, including accuracy, completeness, consistency, validity, timeliness, uniqueness, and integrity.
• Assess, clean, and validate data to ensure it meets quality standards and business objectives.
• identifying and correcting data inconsistencies and inaccuracies.
• Design and develop testing plans, test cases, and test scripts to evaluate data quality.
• Identify, document, and report defects, inconsistencies, and inaccuracies. Collaborate with developers and other teams to resolve issues and perform regression testing.
• Monitor data pipelines and quality metrics on a regular basis. Analyze data to identify trends and areas for improvement.
• Maintain and update testing documentation and report on test outcomes. Document key data processes and transformations.
• Assist with quality improvement initiatives and recommend improvements to data quality processes and procedures.
• Work with developers, business stakeholders, and data governance teams to ensure data quality standards are met.
• Good knowledge of the Agile/Waterfall approach and how quality assurance fits into it.
• Ensure that the company’s federal, state, local, and other global enterprise solutions are following the industry testing standards and regulations.
• Develop automated testing solutions from the ground up.
• Develop testing scenarios by analyzing feature requirements for the purpose of estimating testing effort.
• Track defects, analyze and communicate test results, and engage in daily QA activities.
• Reviews quality manuals, process procedures, design plans, and test procedures to gain insight into the problem's scope, requirements, and functionality.
Skills and Abilities:
• Ability to take ownership of the project and work independently in a team environment.
• Expertise in the testing principles and testing procedures.
• Proficient in developing and maintaining test plans, test scenarios, test cases, test defect tracking, summary reporting, and test scripts to perform thorough testing and validate the data, based on business requirements.
• Proficient in testing web-based applications, with experience in dynamic testing.
• Proficiency in SQL for data extraction and manipulation, along with experience using data wrangling tools like Pandas.
• Knowledge of programming languages such as C#, Python, or R for data process automation and analysis.
• Working knowledge of application security testing.
• Familiarity with Extract, Transform, Load (ETL) tools to move and transform data.
• The ability to perform statistical analysis and use data visualization tools like Tableau or Power BI to interpret and present findings.
• Understanding of data management principles and databases.
• Knowledge of data governance, master data management (MDM), and metadata management.
• Ability to analyze problems, perform root cause analysis, and develop solutions is essential for resolving data issues.
• Knowledge of Software Quality Assurance (SQA) methodologies
• Experience testing modern interface patterns and responsive rendering technologies Web design, single-page application design, UI/UX prototype design, and backend architecture.
• Working knowledge of debugging tools (Fiddler).
• Proficiency with version control practices using Git, including branching, collaboration, reviewing pull requests, and resolving merge conflicts.
• Knowledge of build servers. (Azure CICD Pipeline, Jenkins, and Cruise controls).
• Working knowledge of source control systems (DevOps, GitHub, SVN, or TFS).
• Working experience in release management and bug tracking tools (e.g., Zephyr, etc.).
• Knowledge of HTML5, CSS, JavaScript, Angular Bootstrap, SQL, SharePoint, JSON, or XML objects.
• Knowledge of API testing using Postman and Swagger UI.
• Knowledge of Azure cloud infrastructure and its capabilities.
• Strong verbal and written communication skills are needed to explain findings to both technical and non-technical stakeholders.
• The ability to work effectively in a team, manage relationships, and collaborate with different departments.
• A willingness to learn new tools and adapt to evolving technologies is important for long-term career growth.