| Java Lead - NJ & Data Engineer - GA (Onsite) - Only EST at Remote, Remote, USA |
| Email: divyasai1916@gmail.com |
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Hello Please share Updated resume to divya.c@itechus.net Please go through the below requirement and let me know your interest. Role 1 : Java Technical Lead Location: Mount Laurel, NJ (Onsite) Type : Contract Description: Technical Lead Digital : Spring Boot, Angular 13+ 10 & Above At least 10+ years of working experience as Java Application Developer; including J2EE and Web Services; designing and developing modern/complex web applications. Rest API design Patterns, Spring Security, OAUTH, Spring framework (for dependency injection, Spring-WS), micro services. Dev tools: GIT, Maven, Jenkins, JIRA, Confluence Operating Systems: RedHat Linux, Windows, Databases: MySQL Cloud Services on Azure - Docker, Kubernetes, Java Tuning etc Angular Framework, UI Design patterns, Scripting (Java script, XSLT, ANT) JSSE for Encryption Experience with Agile Development Methodology Experience working in Enterprise/ Financial Industry preferably with high availability, high usage applications Java, Springboot, REST, Microservices, Angular Role 2 : Sr Data Engineer Location: Atlanta, GA (Onsite) Type : Contract Description: Engineer 1. Design, develop, and maintain scalable data pipelines on Azure platform. 2. Implement data storage solutions using Azure Data Lake Storage, Azure SQL Database, and Azure Cosmos DB. 3. Develop ETL processes to extract, transform, and load data from various sources into Azure data services. 4. Collaborate with data scientists and analysts to ensure efficient data flow and support their analytics needs. 5. Monitor and optimize data pipelines for performance, reliability, and cost-effectiveness. 6. Manage and maintain data security, access controls, and compliance standards within Azure services. 7. Troubleshoot and resolve data-related issues, ensuring data integrity and accuracy. 8. Work with DevOps teams to automate deployment, monitoring, and management of data solutions. 9. Keep up-to-date with industry trends and best practices in Azure data engineering. 10. Document data pipelines, processes, and procedures for knowledge sharing and team collaboration. Digital : Microsoft Azure, Digital : Azure Machine Learning (ML) 8-10 Open Thanks, Divya -- Keywords: machine learning user interface database information technology golang Georgia New Jersey Java Lead - NJ & Data Engineer - GA (Onsite) - Only EST divyasai1916@gmail.com https://jobs.nvoids.com/job_details.jsp?id=2061418 |
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| 08:31 PM 08-Jan-25 |