Big Data Engineer (A849)

We’re looking for an experienced Big Data Engineer to join an international team building a modern cloud-based data platform for a cybersecurity company. You’ll work with cutting-edge technologies in AWS to design and optimize real-time data pipelines for telemetry and log processing at scale.

What will be your key responsibilities:

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

What experience should you have:

  • 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)

What do you get in return:

  • 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
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