Data Engineer (Kafka/ Flink)

• Implement features and user stories based on business requirements
• Develop and deliver sprint backlog items end-to-end
• Build and maintain stream processing pipelines using Kafka and Apache Flink
• Develop backend services using Java (Spring / Quarkus)
• Ensure strong test coverage and code quality
• Implement and evolve Avro schemas with Schema Registry
• Maintain and improve data integration flows across systems
• Monitor and fine-tune application and streaming performance
• Contribute to architecture improvements and design decisions
• Work with AWS services (Lambda, DocumentDB, S3) for supporting platform components
• Collaborate with cross-functional teams in an agile environment

Key requirements:

• 6+ years of experience with Kafka/Flink
• Apache Kafka / Confluent (producers, consumers, Kafka Connect)
• Apache Flink (stream processing, stateful/stateless concepts)
• Strong experience in Java (with Spring and/or Quarkus)
• Experience with Avro schema design
• Hands-on experience with Confluent Schema Registry and API usage
• Experience with AWS services (such as Lambda, DocumentDB, S3, etc.)
• Strong understanding of event-driven architectures
• Very good English skills

Nice to have:

• Terraform, Python
• Snowflake
• AsyncAPI
• BDD / Cucumber
• GitOps / CI/CD (PR-based workflows, GitFlow)