Java Developer with AWS and Kafka Expertise - Smithfield

- Bachelors or Masters Degree in a technology-related discipline (e.g., Engineering, Computer Science, etc.) - Over 10 years of experience in software design and development - At least 5 years of experience in deploying big data solutions within the data analytics domain - Minimum of 2 years of experience in creating big data applications in the Cloud (AWS, Azure, Google Cloud) - Proven track record in developing and managing data capabilities and APIs at scale - Strong understanding of microservices architecture principles - Experience in developing large-scale software platforms - Extensive background in Object Oriented Programming (Java, Scala, Python, Node.js), Streaming/Messaging Technologies (Kafka, Kinesis, SNS, SQS, ActiveMQ), Relational and NoSQL databases (DynamoDB, Elastic Search, Graph DB), Stream Processing (Flink, Kinesis Analytics, Spark), data movement technologies (ETL/ELT), REST APIs, and in-memory technologies - In-depth knowledge of crafting highly scalable distributed systems using AWS services and open-source technologies - Experience in deploying Machine Learning models utilizing reinforcement learning in highly scalable environments - Familiarity with DevOps practices, Continuous Integration, and Continuous Delivery (Maven, Jenkins, Stash, Ansible, Docker) - Strong analytical and design skills - Ability to navigate ambiguity and thrive in a fast-paced environment - Creative problem-solving ability to design comprehensive end-to-end solutions - Enthusiasm and intellectual curiosity for learning new technologies and business sectors - Significant experience in supporting mission-critical applications efficiently - Excellent verbal and written communication skills - Strong collaboration skills to work cohesively with various teams across the organization - Ability to adapt to evolving business needs and advancements in technology - Comprehensive understanding of technology trends in implementing the Big Data Ecosystem - Solid experience with Agile methodologies (Kanban and SCRUM)