QA Analyst

We are seeking a QA Analyst to perform Quality testing work on our Data Management, Engineering Architecture team that supports the development and implementation of the Enterprise Data Lake. The QA Analyst will partner with other team members to ensure that we bring all the data assets together in one place on our Enterprise Data Lake platform and make this data accessible to our business users for analysis and action. The business goal is to leverage WBD s data assets to create modeling solutions for audience targeting, experience personalization and subscription management. The ideal candidate should bring an exceptionally good working knowledge of various Data technologies along with experience working on the AWS (Amazon Web Services) and Snowflake cloud platform.

Your Role Accountabilities:

• Develop and implement QA methodologies, processes, and documentation.
• Ability to perform in an Agile environment.
• Understand high-level data management and engineering requirements of the business.
• Work closely with data architects and analytics team to understand system and business requirements.
• Develop and maintain test plans, test scripts and test results.
• Perform System, Functional and Integration testing, and Performance testing where appropriate.
• Work with Product managers and Users during UAT (User Acceptance Testing)
• Contribute to the project planning process by estimating QA tasks and deliverables.
• Ability to thrive in a team-based environment and Flexibility to work in second shift.

Qualifications Experiences:

• 4-6 years experience as a database QA Engineer in Data Warehousing, reporting and analytics environments
• BS/MS in Computer Science, MIS, business, or equivalent education/training/experience
• Working experience in all aspects of testing: functional, system, integration, performance
• Expertise in working with Linux environments
• Experience with cloud-based tools such as Snowflake
• Experience automating, scripting, and streamlining processes for efficiency and accuracy utilizing SQL, Pytyon, Unix shell scripting and Windows BAT.
• Experienced in software delivery through continuous integration (for example git, bitbucket, Jenkins, etc.)
• Understanding of ELT/ETL processes
• Expertise in database platforms such as RDBMS or NOSQL platforms
• Expert level knowledge of SQL
• Experienced in one or more automation and scheduling tools (for example Redwood, Airflow, etc.)
• Experienced with Atlassian Suite (JIRA, Confluence)

Not Required but preferred experience:

• Public speaking and presentation skills.
• Experience with AWS, GCP (Google Cloud Platform) or Azure tools and technologies
• Windows and Linux System administration