Primary Skills:
Strong programming skills in Java and Spring Boot.
Hands-on experience with Microservices architecture and RESTful APIs.
Proficiency with Kafka and distributed streaming systems.
Solid understanding of SQL and data modeling.
Experience with containerization (Docker) and orchestration (Kubernetes).
Working knowledge of Flink, Spark, or Databricks for data processing.
Familiarity with AWS services (ECS, EKS, S3, Lambda, etc.).
Basic scripting in Python for automation or data manipulation.
Secondary Skills
Experience with Datadog, Prometheus, or other monitoring tools.
Exposure to CI/CD pipelines and DevOps practices.
Knowledge of data engineering best practices and real-time analytics.