Backend Java Developer (Azure Cloud Highly Preferred) @ Vienna, VA/Pensacola, FL/ San Diego, CA/Winchester, VA (Face to face interview required)
Please send me your updated resume to pr...@idexcel.com
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Master’s degree with Completion year & University (OR) Educational Institute Name/Location:
Bachelor’s degree with Completion year & University (OR) Educational Institute Name/Location:
Face to face interview at Vienna, VA/Pensacola, FL/ San Diego, CA/Winchester, VA (Yes/No):
Job Title: Backend Java Developer (Azure Cloud Highly Preferred) Need locals only
Location: Vienna, VA/Pensacola, FL/ San Diego, CA/Winchester, VA (Face to face interview required)
Duration: Long Term Contract
Qualifications/Skills:
· Effective experience working with all levels of staff, management, stakeholders, vendors
· Significant experience in managing Multiple Priorities independently and/or in a team environment to achieve goals
· Advanced knowledge with cloud services (Microsoft Azure strongly preferred, AWS, Google Cloud, etc.)
· Significant experience in data engineering and Application development
· Significant experience in J2EE and Web Services (Java, XML, Jquery JavaScript, HTML, OOA and OOD Concepts)
· Experience in Cl/CD pipelines using tools such as Maven, Docker, GitHub, Chef, Nexus, Jenkins, JUnit, Tomcat, SonarQube, Selenium, Cucumber, etc.
· Experience in Data Lake Store, Machine Learning, SQL Data Warehouse, SQL Streaming Analytics, Bot Framework, Cognitive Services, Data Catalog, Data Factory, Key Vault, Azure AD, Azure SQL, AppInsights
· Working knowledge with Azure IaaS & PaaS, VSTS, Continuous Integration, Continuous Delivery, and Continuous Deployment pipeline
· Working knowledge with data structures, algorithms, design patterns
· Experience with IT related Data Management and Data Migration Activities
· Experience in Data Management and Architecture, Performance Management,
· Information Delivery and Advanced Analytics
· Experience in analytical and data visualization tools and techniques (Power BI preferred)
· Experience in modeling and quantification concepts including statistics and probability principles