Senior Java Developer - Container Risk Analysis
New
Ukraine. ArmeniaFull-TimeSenior
Salary not disclosed
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Job Details
- Languages
- English
- Experience
- Minimum of 5 years
- Required Skills
- AWSPythonETLJavaKafkaMySQLSpring BootMicroservicesLLMGenerative AI
Requirements
- Bachelor's degree in Computer Science, Engineering, or a related field
- A minimum of 5 years of professional experience as a Backend Engineer
- Full proficiency in Java (specifically Spring Boot)
- Full proficiency in Kafka
- Strong background in developing micro-services architecture and streaming solutions
- Proficiency with Generative AI (GenAI) and Large Language Model (LLM) tools
- Proactively utilized and consistently engaged with LLM and AI tools (e.g., Claude) throughout the development lifecycle
- Expertise in AWS services for data storage, processing, and analytics
- Demonstrated experience in designing and implementing robust ETL (Extract, Transform, Load) processes for data transformation and integration
- Good working knowledge of Python
- Experience with MySQL
- Exceptional problem-solving skills
- Meticulous attention to detail
- Ability to work independently and take ownership of tasks
- Good command of English, both written and verbal
Responsibilities
- Utilize Java, including Spring Boot, to build robust and high-performance data processing services within our data platform
- Implement real-time data streaming solutions using Kafka, ensuring timely data ingestion and availability
- Collaborate closely with cross-functional teams to comprehend data requirements, identify opportunities for data optimization, and support data-driven initiatives
- Lead the design, development, and maintenance of efficient and scalable data pipelines, facilitating data collection, processing, and transformation from diverse sources
- Leverage AWS services for data storage, processing, and analytics, adhering to security and performance best practices
- Monitor and troubleshoot service performance, proactively identifying bottlenecks and implementing optimizations
- Uphold data integrity, reliability, and availability by implementing effective ETL processes and conducting data quality checks
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