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We are a team of forward-looking professionals in need of a strong candidate with these key required skills :Kafka Architecture, Kafka APIs (Consumer, Producer, Streams), Data Streaming, Data Serialization (Avro, JSON), and Modern Software Development (Java with Spring Boot, Python, or C# with.
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Familiarity with modern cloud native technologies like Kubernetes, NO SQL Data bases, wide variety of relations data bases. 5 + years Deep experience with Cloud full stack engineering in web and mobile – Java, Angular, React JS, Node JS, Spring Boot, Microservices, Kafka and others.
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Candidates will use modern software engineering tools including Eclipse, Git, Python, PyTorch Java and Atlassian Suites for design, development, and testing the software. Working closely with the team tech lead, developers, data analyst and data scientist, the successful candidate will participate in the development, integration testing and validation, and all aspects of the software life cycle for model-driven, micro-service JEE architecture software applications.
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Ssist in the adoption of modern engineering practices, design principles, and Agile methodology across the Fintech Enablement team. Prior experience with Java/Java-oriented frameworks (e.g., Spring Boot), preferably with near real-time event-based systems (JMS/MQ/pub-sub), and especially related to infrastructure, networks, security, and data/analytics technology.
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Experience with modern Web, Java and Java EE platforms including Spring framework & components, Messaging, NATS, Web & Application Server ( Server App Design & Technology Skills ), Web Services, REST ( Services Design & Technology Skills.
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Grasp of software engineering skills in modular design, data structures, algorithms. Deep knowledge and hands on experience with modern applications like spring boot, Angular. Strong Java developer with very good understanding of micro services.
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Java Full stack Developer. Contributes to software engineering communities of practice and events that explore new and emerging technologies. Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages.
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Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture. Formal training or certification on software engineering concepts and 3+ years applied experience.
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At Cognizant Digital Engineering, a small cross functional team comprised of a Product Manager, an Architect, Full-Stack Developers, UI/UX designers and Big Data analysts builds higher quality software faster siloed individuals working independently.
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As a Lead Software Engineer - Full Stack Developer in Java & React, at JPMorgan Chase within the Global Finance Planning and Engineering team, you will be an integral part of anagile team.
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Employ both Object Orientated development skills and Systems Engineering skills. Position:-Lead Java Backend Developer. Lead Java Backend Developer. · Bachelor's degree in computer science engineering or a related discipline, or equivalent work experience.
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Perform hands-on Java Development, adoption of modern software engineering & delivery practices using Java, Spring Boot, and Test Automation. We are the largest Financial Services focused consultancy in the world, serving everyone from global banks to emerging FinTechs, from strategy through digital transformation, design, business consulting, data and analytics, cyber, cloud, technology architecture, and engineering.
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Experience working with Authentication and Authorization Understanding of Cyber Security Concepts Working knowledge of SAML, OIDC and OAuth Formal training or certification on security engineering concepts Understanding of Cryptography and Data Protection technics.
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Java Developer - 07 Positions. Solid understanding of modern API design and Restful principles. Strong Experience in automation and build tools like Maven, Ant and Gradle. Fluent with git (preferred) or other SCM system.
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4+ years of software development / engineering experience related to AI, Data Science and Modeling, Data Structures, Large Language Models, Data Visualization. Practice areas include: Analytics, Intelligence, & Data Technology (AIDT), Client Platforms, Core Technology Services (CTS), Financial Advisor Platforms, Global Banking Technology (GBT), Investment Solutions Technology (IST), Institutional Wealth and Corporate Solutions Technology (IWCST), Technology Delivery Management (TDM), User Experience (UX), and the CAO team.
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modern data engineering jobs Title: java developer
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