You’ll be joining the team at a key moment, contributing to the transition from Azure to AWS and helping shape high-performance, scalable data architecture. Your work will involve designing and maintaining data pipelines using technologies like Kafka, AWS Glue, Cassandra, Iceberg, Kubernetes, and Python.

Key responsibilities:

• Design, build, and maintain scalable data pipelines for telemetry and log data
• Contribute to real-time and near-real-time data processing architecture
• Optimize system performance and cost-efficiency in the AWS ecosystem
• Support the migration of data infrastructure from Azure to AWS
• Collaborate with analysts and engineers to improve anomaly detection and data classification

• 5+ years of experience in Big Data engineering or distributed systems
• Strong hands-on experience with AWS (Glue, S3, IAM, EC2, etc.)
• Proven knowledge of Kafka, AWS Glue, Cassandra, Iceberg, Kubernetes, and Python
• Experience building robust, fault-tolerant, cost-efficient data pipelines
• Ability to analyze and resolve performance bottlenecks
• Solid understanding of data modeling, streaming, ingestion, and monitoring
• Fluent English – daily communication in an international team

Nice to Have:

• Experience with XDR, EDR, or SIEM platforms
• Background in cybersecurity, banking, or telecommunications
• Familiarity with security-oriented data (e.g., IP-level or network telemetry)

• Opportunity to work on a technically advanced cybersecurity project
• Collaboration with a senior, international team in a supportive environment
• Flexibility and remote-friendly culture
• Influence over architectural decisions and use of a modern tech stack
• English-speaking environment with strong documentation practices
• Long-term engagement and space for professional growth