Java Streaming Tech Lead

Responsibilities:

• Lead technical design and implementation of Flink and Kafka event driven use cases
• Ensure best practices are followed for performance tuning, security, and data governance
• Build awesome big data products within a fun team where culture is the foundation for success
• Lead and mentor the development team in a hands-on way
• Provide technical feasibility assessment while collaborating with Product Owner and Design team to guide features and provide technical know-how
• Define and address application non-functional requirements, and manage technical debt
• Debug and optimize complex applications
• Effectively communicate the vision and architecture to team members
• Maintain a productive working environment for development teams
• Be a strong advocate for a culture of quality across the team
• Collaborate with external teams, especially security, to design, implement and support solutions that are scalable and efficient
• Build best-in-class real time analytics products with Flink and Kafka
• Effectively communicate the solution to non-technical stakeholders
• Follow an agile development methodology
• Keep up-to-date with the Flink and Kafka capabilities of Palantir Foundry releases, features and best practices and recommend changes to improve efficiency, performance and scalability
• Advocate for appropriate data modeling techniques to enable agile development and the business use cases, specifically in the integration of event-driven with batch data processing

Minimum Qualifications:

• Implement component
• Proficiency with Spark
• Experience with Flink or Kafka
• Data bricks
• Deep Technical experience
• Experience in Plantir Foundry releases
• Lead the design and implementation of Flink and Kafka event
• Take care of system solution architecture development.
• Previous project and portfolio focused in any of the following, Cloud Architecture, Data Management, Security and Microservices
• Expert level Data engineer with mentorship program