QA - Senior Engineer

Company Description

BLEND360 is adding to our team of passionate people who are revolutionizing the world of Data Science.  We are an award-winning, new breed Data Science\Data Engineering\BI Solutions Company focused on powering exceptional results to our Fortune 500 clients.  We are a growing company – born at the intersection of advanced analytics, data and technology. 

Our new Director of Data Engineering will be in the forefront of driving major projects within BLEND360 and working with our data engineering team to develop innovative data driven solutions that integrate distributed sources of data, perform large scale learning and reasoning, and integrate results.

Job Description

We are seeking a Senior QA Engineer to join our team and help us ensure the delivery of high-quality data-driven solutions and services. The Senior QA Engineer will be responsible for developing and implementing QA processes and standards, designing and executing test plans, test cases, and test scripts, and collaborating with cross-functional teams to ensure that our solutions meet or exceed our clients' expectations. The ideal candidate should have a proven track record of working in complex data-driven environments and a strong understanding of QA methodologies, tools, and processes.

Responsibilities:

• Develop and implement QA processes, standards, and methodologies to ensure high-quality data-driven solutions and services
• Collaborate with cross-functional teams to identify and mitigate quality risks throughout the development lifecycle
• Design and execute test plans, test cases, and test scripts to validate software functionality and performance
• Identify and document defects and work with the development team to resolve them
• Participate in quality assurance reviews and audits
• Stay current with emerging trends, technologies, and best practices in QA

Qualifications

• Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field
• 5+ years of experience in quality assurance in data-driven environments
• Strong knowledge of QA methodologies, tools, and processes
• Strong knowledge of data management and data quality best practices
• Experience with automated testing tools and techniques such as Selenium, JUnit, TestNG, Cucumber, or Robot Framework
• Familiarity with database technologies and SQL
• Knowledge of programming languages such as Python or Scala
• Strong analytical, problem-solving, and decision-making skills
• Excellent communication and interpersonal skills