Big Data Data QA

Get quick access to Data QA Experts with extensive experience

Popular roles in this TalentCloud

  • Data
  • Data QA Engineer

Cloud Description

TalentCloud members should be responsible for validating new or modified data, data ingestion protocols, reports, and user-interfaces of products built with various technology solutions to ensure the correctness of data flowing through each stage of the product process. Other abilities and experiences include:

  • Able to work with other members of QA team, engineers, and end customers while providing testing support throughout the entire software development life cycle, in order to deliver high-quality products and data services to customers
  • Manages time and expectations in the execution of quality assurance efforts meeting all deliverables
  • Communicates test progress, results, and project relevant information to team members and management on a frequent basis
  • Reviews requirements, specifications, and technical design documents to provide timely and meaningful feedback
  • Test Plan Execution
  • Estimates schedule requirements, prioritizes test criteria, and plans and coordinates testing activities
  • Executes manual and/or automated component, functional, system, integration, performance,  and regression testing according to the test plan and establishes timelines
  • Leverages technical and analytical skills and tools to assist in resolving database responsiveness issues
  • Analyzes and queries multiple, complex databases
  • Verifies databases are set up and populated with the correct test data
  • Process Management
  • Works with developers, SMEs, product owners, to understand business requirements and resolve  application issues
  • Develops, maintains, and updates reporting and documentation for testing efforts, results, activities, data logging, and tracking
  • Escalates critical findings and issues to project leadership
  • Working closely with DevOps and DataOps teams to automate testing and data quality issues and making the process repeatable

Required Skills

  • Data Analyst background experienced in multiple dialects of SQL, Excel, and basic understanding of relational databases
  • Familiarity with automated and manual software testing tools and frameworks
  • Experience with version control software such as Git
  • Experience using JIRA
  • Experience authoring test plans
  • Experience on an Agile development team with rapid iterations
  • Experience analyzing requirements and automating test plans
  • Good scripting skills and ability to learn new programming languages
  • Strong writing and communication skills with keen attention to detail
  • Experience with QA automation, preferably in a data warehouse environment
  • Experience with QA automation tools such as Selenium and UFT
  • Familiar with and ability to create detailed, understandable and relevant test plans
  • Advanced knowledge of business processes and data analysis, as well as the ability to construct complex data queries and collaborate with colleagues
  • Experience with Data Warehouse/Data Mart/Business Intelligence delivery
  • Experience with integrating into the DevOps (CI/CD) stack

Preferred Skills

  • Deep Expertise with SQL
  • Experience with ETL technologies that store, transport and manipulate data; e.g. Informatica
  • Experience with Data Wrangling tools such as Alteryx and/or Trifacta
  • Experience with Data Visualization tools such as Tableau and/or Microstrategy
  • Experience with Big Data and/or Emerging data technology tools and methodologies
  • Knowledge of agile methodology and frameworks like Scrum, Kanban, etc.
  • Must have good Technical in-depth experience with Data Warehouse

Are you an Expert in this field?

If you possess proficiency in any of the skills in this field, you can apply to this TalentCloud. Once you have been approved to join this Cloud, you will be able to access exclusive contract opportunities from our clients.