Integration Product Owner and Architect

•       Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
•       Strong proficiency in Java and Spring Boot.
•       Experience with Apache Kafka and stream processing.
•       Familiarity with Big Data technologies (Hadoop, Spark, etc.).
•       Knowledge of NoSQL databases (e.g., Druid, Cassandra, MongoDB).
•       Understanding of distributed systems and scalability.
•       Design, develop, and implement Kafka-based microservices using Spring Boot.
•       Build data pipelines for ingesting, processing, and analyzing large-scale data sets.
•       Optimize Kafka configurations for performance and reliability.
•       Work with Big Data technologies such as Hadoop, Spark, and NoSQL databases.
•       Ensure data security, integrity, and compliance with industry standards.
•       Troubleshoot and resolve issues related to Kafka topics, consumers, and producers.
•       Monitor system performance and proactively address bottlenecks.
•       Participate in code reviews and mentor junior developers.

Nice to have skills:
•       Certification in Kafka or related technologies.
•       Experience with cloud platforms (AWS, Azure, GCP).
•       Knowledge of containerization (Docker, Kubernetes)

Minimum years of experience: 12 years