Java Developer (Databricks + AWS)
- Discuss this with your agent
- Open in Claude
- Open in ChatGPT
Role details
Tech stack
+9 more
Job description
Design, develop, and maintain scalable microservices using Java and Spring Boot.
Build and optimize Real Time data pipelines leveraging Apache Kafka, Flink, and Spark/Databricks.
Develop robust data distribution and streaming solutions for high-throughput systems.
Deploy, manage, and monitor services in containerized environments (Docker/Kubernetes).
Write efficient and optimized SQL queries for relational databases.
Integrate and manage applications in AWS cloud environments.
Collaborate with cross-functional teams to ensure smooth delivery and integration of features.
Implement monitoring and observability solutions (eg, Datadog) for system health and performance tracking.
Requirements
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 modelling.
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.).
Apply for this position
This job is hosted externally. Click below to view the full posting and apply.
Apply on www.careerboard.comGood distractions
Talks and stories from around this role — technically off-topic, practically not.
Moments
Explore playlistsVideos
See allRelated articles
See all
Top Big Data Technologies That You Need to Know
Data Engineer Salary UK
Making Data Warehouses Fast: A Developer’s Story
Dev Digest 121 - AI goes offline