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
• Mentor junior and mid-level engineers on backend best practices, system design, and performance

🎯 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 at scale.
• Strong SQL expertise with ability to design and optimize database queries and schemas.
• Hands-on experience with Apache Spark and Apache Airflow for data processing and pipeline
• Practical knowledge of Kubernetes for container orchestration and service management.

🎁 Benefits

• Every day lunches! (headquarters) with vegetarian, vegan, gluten and sugar free options
• Gourmet meals every Friday with our on-site chef!
• Flexible working options to help you strike the right balance.
• All the equipment you need to harness your talent (Macbook and accessories).
• Snacks and beverages available everyday (headquarters).
• After office events, football, tennis and game nights (headquarters).