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Big Data QA Jobs in Iowa

Big Data Sdet Jobs
By ASCENDING At , Remote
Work with team, peers and management to identify objectives and set priorities.
Minimum 4 years of proven professional experience working in the IT industry.
Experience in using various data modeling techniques and their appropriate usage in data integration.
Strong knowledge of database structure systems and data mining.
Experience with cloud based Big Data technologies.
Must be very strong with SQL and have had extensive experience structuring complex SQL queries.
Big Data Healthcare Head Of Operations
By Fifth Third Bank At , Remote $116,900 - $234,300 a year
5+ years of proven leadership/supervisor experience. Management of exempt managers and employees preferred.
MINIMUM KNOWLEDGE, SKILLS AND ABILITIES REQUIRED:
Bachelor's degree with an emphasis on Business Administration &/or Finance or equivalent work experience. MBA preferred
Ability to work in a team environment, presenting a professional image and commanding the respect of staff, peers, and senior management.
Leads and manages a team responsible for client implementations, support, and operations.
Ensure compliance with Bank compliance and regulatory requirements
Big Data Architect Jobs
By Leidos At , Remote $118,300 - $245,700 a year
Architecture Framework knowledge and certification
ITIL foundations certification with Enterprise IT experience using ITIL 4
Experience developing strategic roadmaps for IT services and providing technical oversight to ensure developed solutions, satisfy customer and business requirements
Key activities for this role will include requirement definition, architecture development, analysis of alternatives / trade-off studies, technical planning, and design.
Lead engineering assessments and recommendations for selection of investments for a range of large scale COTS solutions across various vendor offerings.
3+ years of experience supervising or leading technical projects and teams

Are you looking for an exciting opportunity to use your Big Data QA skills to help shape the future of data-driven products? Join our team and help us ensure that our products are of the highest quality and meet the needs of our customers. With your expertise, you will be responsible for testing and validating the accuracy of our data-driven products, ensuring that they are reliable and secure. If you are passionate about Big Data QA and want to make a difference, this is the job for you!

A Big Data QA is responsible for ensuring the quality of data-driven products and services. They are responsible for designing, developing, and executing tests to ensure the accuracy and reliability of data-driven products and services.

What is Big Data QA Skills Required?

• Knowledge of software quality assurance best practices and methodologies
• Knowledge of data analysis and data management
• Knowledge of scripting languages such as Python, Java, and SQL
• Ability to troubleshoot and debug data-related issues
• Ability to work independently and collaboratively
• Excellent communication and problem-solving skills

What is Big Data QA Qualifications?

• Bachelor’s degree in Computer Science, Information Technology, or related field
• Experience with software quality assurance and testing
• Experience with data analysis and data management
• Experience with scripting languages such as Python, Java, and SQL

What is Big Data QA Knowledge?

• Knowledge of software quality assurance best practices and methodologies
• Knowledge of data analysis and data management
• Knowledge of scripting languages such as Python, Java, and SQL
• Knowledge of software development life cycle

What is Big Data QA Experience?

• Experience with software quality assurance and testing
• Experience with data analysis and data management
• Experience with scripting languages such as Python, Java, and SQL
• Experience with software development life cycle

What is Big Data QA Responsibilities?

• Design, develop, and execute tests to ensure the accuracy and reliability of data-driven products and services
• Troubleshoot and debug data-related issues
• Analyze test results and provide feedback to developers
• Monitor and report on quality metrics
• Collaborate with developers and other stakeholders to ensure quality standards are met
• Document and report on test results and defects