Lead backend development leveraging Spring and Kafka Streams within event-driven systems

Design and oversee scalable, real-time data processing pipelines incorporating Databricks, Snowflake, and PostgreSQL

Develop and fine-tune batch and streaming workflows using Python and PySpark

Promote knowledge sharing through pair programming and code reviews to enhance code quality

Evaluate and refactor legacy systems to boost performance, maintainability, and scalability

Implement best practices in software design, testing, and deployment

Manage CI/CD pipelines and containerized deployments using Kubernetes

Collaborate with cross-functional teams and stakeholders to design and deliver dependable technical solutions

Minimum 5 years of professional experience in Java development

Strong expertise in backend development using the Spring Framework

Comprehensive understanding of Kafka including Kafka Streams and event-driven systems

Proficiency in Python and PySpark for data processing and analytics

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

Demonstrated capability in refactoring and enhancing legacy software for scalability and reliability

Knowledge of CI/CD, Kubernetes, and modern cloud deployment methodologies

Excellent problem-solving, debugging, and optimization abilities

Effective collaboration skills with emphasis on pair programming and knowledge exchange

English language proficiency at B2 level or higher

Experience developing backend services using Kotlin

Understanding of Java-based microservice architectures