Sr. Software Engineer, Test (Analytics)

Bellview, Florida, United States Contract

Sr. Software Engineer, Test (Analytics)


Job Description


As a Sr. Software Engineer - Test Analytics, you will combine EMR, Redshift, Hadoop, Elastic Search and other technologies to build our Test analytics and visualization platform. The primary focus for this position will be combining machine learning techniques and data science with Test logs data, customer usage data, test coverage and other metrics to derive meaningful insights on end to end quality of a product. The individual in this role will have responsibility help define requirements, create use cases, create software designs, implement code/models to specifications, evangelize to stakeholders and deploy the analytics platform and related processes to various project teams.


Key Responsibilities:

  • Participate in the design and implementation of Quality engineering / Test automation framework, systems and services
  • Assist in setting architectural direction for Metrics dashboards, Test coverage tools, and Test analytics platform
  • Define High level Test Metrics strategy and approaches for analyzing data generated by our tests
  • Build, develop and maintain data models, reporting systems, data automation systems, dashboards and performance metrics that support key business decisions.
  • Oversee the design and delivery of reports and insights that analyze business functions and key operations and performance metrics.
  • Manage and optimize processes for data intake, validation, mining and engineering as well as modeling, visualization and communication deliverables.

Basic Qualifications:

  • Experience with at least one modern programming language such as Java, C#, or Python
  • Experience with languages/ frameworks used in ML & Analytics like Spark, R.
  • Strong programming skills with querying languages: SQL, SAS, etc.
  • Experience with testing tools such as TestNG, Selenium
  • Experience with data visualization tools: Tableau, Raw, chart.js, etc
  • Working knowledge of data mining principles: predictive analytics, mapping, collecting data from multiple data systems on premises and cloud-based data sources
  • Understanding of and experience using analytical concepts and statistical modeling techniques
  • Past experience either in web services development or test automation
  • Familiarity with CICD, Pipelines using Jenkins, Distelli or similar tools

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