Oracle Senior Data Science Test/QA Engineer-Oracle Data Cloud in Broomfield, Colorado
Senior Data Science Test/QA Engineer-Oracle Data Cloud
As a Test/QA Engineer in the Data Science organization, you will be responsible for assuring the accuracy and consistency of data, applications and infrastructures. The candidate will be a member of a team that consists of highly experienced software engineers and data scientists, with a strong track record of consistently delivering high quality results. Our preferred candidate will be energized by the dynamics of an entrepreneurial work environment.
Hands-on lead for functional & performance testing of Oracle Data Cloud (ODC) Data Science applications, utilities and infrastructure. Our landscape includes Python, R, AWS, SQL, UNIX, Docker
Test performance, scalability and longevity of ODC features and underlying infrastructures
Define testing strategy, create and maintain documentation for test plans and test cases
Automate functional, integration and performance testing processes using standard automation frameworks
Debug failures, file accurate bug reports and follow up with Dev and PM teams on the resolution
Integrate automation frameworks with continuous integration server and publish daily regression results
Participate in release/sprint planning activities and daily stand-up meetings
Make recommendations on process improvement and operational execution to support data consistency and quality
Serve as a subject matter expert and key decision maker on cross functional teams including Product Management, R&D, and Engineering Organizations
Skills and Qualifications:
7 - 10 years of experience in testing /development
Experience with functional and performance testing of Cloud based enterprise applications, middleware and infrastructures
Exceptional debugging and problem solving skills with unrelenting focus on detail
Strong experience with coding , Python or Java preferred
Strong SQL experience
Expertise with load testing tools or performance test suites
Experience with API and UI test automation with Pytest, TestNG, JUnit, Selenium etc. Whitebox testing experience preferred.
Should be able to automate manual process through scripting.
Experience with working on UNIX/Linux platforms
Experience with the software development life cycle,
Analytic software knowledge such as R helpful
Foundation in statistics helpful
Experience with AWS and related big data tools (Spark, Hive, Hadoop, Redshift)
Ability to learn independently, solve problems, and identify the best technical solution for an issue
Ability to work in a demanding, fast paced, and dynamic work environment
Detailed Description and Job Requirements
Designs, develops and programs methods, processes, and systems to consolidate and analyze unstructured, diverse “big data” sources to generate actionable insights and solutions for client services and product enhancement.
Interacts with product and service teams to identify questions and issues for data analysis and experiments. Develops and codes software programs, algorithms and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources. Identifies meaningful insights from large data and metadata sources; interprets and communicates insights and findings from analysis and experiments to product, service, and business managers.
Job duties are varied and complex utilizing independent judgment. May have project lead role. 5 years relevant work experience. BS/BA preferred.
Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans status or any other characteristic protected by law.
Job: Product Development
Job Type: Regular Employee Hire