Lead Backend Data Engineer

📋 Description

• Design and build scalable backend systems using Java, with deep expertise in production-grade
• Lead the architecture and implementation of distributed systems, ensuring reliability, scalability
• Develop and optimize concurrent and multi-threaded applications, implementing thread
• Build and maintain big data pipelines and infrastructure to handle high-volume data ingestion
• Manage containerized workloads using Kubernetes, defining deployment strategies, scaling policies
• Collaborate with cross-functional teams to define service contracts, APIs, and integration patterns.

🎯 Requirements

• Deep proficiency in Java with strong understanding of advanced language features and best practices.
• Solid expertise in concurrency patterns, multi-threading, thread synchronization (locks, barriers
• Proven hands-on experience designing and implementing distributed systems, including challenges
• Practical knowledge of Kubernetes for container orchestration, deployment strategies, and service
• Strong SQL and database design fundamentals.
• Experience with system profiling, performance analysis, and optimization techniques.

🎁 Benefits

• Certifications in AWS (we are AWS Partners), Databricks, and Snowflake.
• Access to AI learning paths to stay up to date with the latest technologies.
• Study plans, courses, and additional certifications tailored to your role.
• Access to Udemy Business, offering thousands of courses to boost your technical and soft skills.
• English lessons to support your professional communication.
• Travel opportunities to attend industry conferences and meet clients.