Java Developer

CONTEXT

Our client, a major player in its sector, is building a mission-critical streaming data platform that connects on-premise systems with a cloud-based data lake. The platform must handle real-time flows, support analytics, and remain resilient as demand grows across a complex operational landscape. A DevOps team is expanding the platform with new pipelines, integrations, and observability features, and they need a Java engineer who can move comfortably between streaming systems, cloud services, and API-driven data exchange. This is a chance to shape a data backbone that teams will rely on every day.

ACTIVITIES

• Design, build, and maintain new data pipelines using Apache Kafka and Java.
• Develop and expand the on-premise streaming platform and its cloud-based data lake integration.
• Dimension the platform with mission-critical features, monitoring, and reliability safeguards.
• Work with Databricks, ELK, and REST APIs to connect data across systems.
• Support DataLab environments and help teams experiment safely with data products.
• Collaborate in a DevOps model to automate, operate, and continuously improve the platform.

EXPECTED ACHIEVEMENTS

• Robust streaming pipelines that deliver trusted data with low latency and high availability.
• A platform that scales cleanly from on-premise sources to cloud-based analytics.
• Faster and safer access to data for analytics, experimentation, and operational use cases.
• Strong operational visibility through monitoring, logging, and resilient integration patterns.

ENVIRONMENT

• Java, Apache Kafka, Databricks, ELK, and REST APIs.
• On-premise streaming architecture and cloud-based data lake storage.
• DevOps practices with automation, monitoring, and platform reliability.
• Data pipeline engineering and mission-critical integration patterns.
• Collaborative agile delivery with cross-functional data teams.