Contribute to backend development using Spring and Kafka Streams in an event-driven architecture

Design and implement scalable, real-time data processing pipelines integrating Databricks, Snowflake, and PostgreSQL

Develop and optimize batch and streaming workflows using Python and PySpark

Collaborate through pair programming to share knowledge, improve code quality, and ensure consistent implementation standards

Analyze and modernize legacy systems to improve performance, maintainability, and scalability

Ensure best practices in software design, testing, and deployment

Work with CI/CD pipelines and containerized deployments using Kubernetes

Collaborate with cross-functional teams and stakeholders to design, develop, and deliver reliable technical solutions

3+ years of experience in Java development

Strong backend development experience with the Spring Framework

In-depth knowledge of Kafka, including Kafka Streams and event-driven architectures

Proficiency in Python and PySpark for data processing and analytics workflows

Experience with Databricks, Snowflake, and PostgreSQL in data-heavy applications

Proven ability to refactor and enhance legacy systems for scalability and reliability

Familiarity with CI/CD, Kubernetes, and modern cloud deployment practices

Excellent problem-solving, debugging, and optimization skills

Strong collaboration skills, with a preference for pair programming and knowledge sharing

English proficiency at the B2+ level

Experience with Kotlin for backend service development

Familiarity with Java-based microservice ecosystems