We are looking for an experienced Senior Data Engineer to design and build scalable data pipelines and data platforms. The role involves working on high-volume data processing systems, ensuring performance, reliability, and efficiency across both batch and real-time workflows. The position is fully remote (based in Israel) and part of a global engineering team.

Key Responsibilities

• Design, develop, and maintain scalable data pipelines (ETL/ELT)
• Build systems for data ingestion, transformation, and processing
• Work with event-driven architectures using Kafka
• Deploy and manage data workloads on Kubernetes-based environments
• Optimize pipelines for performance, scalability, and cost efficiency
• Ensure data quality, validation, and reliability
• Collaborate with DevOps teams on CI/CD and infrastructure scaling
• Mentor junior engineers and promote best engineering practices

Required Skills & Experience (Must Have)

• 5–8+ years of experience in Data Engineering or Backend Engineering
• Strong programming skills in Python, Java, or Scala
• Hands-on experience with Apache Kafka (event streaming and processing)
• Strong experience with Kubernetes (container orchestration and scaling)
• Experience building distributed data processing systems
• Strong knowledge of ETL/ELT pipelines and data workflows
• Proficiency in SQL and data modeling
• Experience with cloud platforms (AWS, Azure, or GCP)

Nice to Have

• Experience with real-time streaming pipelines
• Exposure to data warehousing and analytics platforms
• Familiarity with CI/CD and infrastructure automation
• Working knowledge of observability tools such as Prometheus and Grafana for pipeline monitoring and troubleshooting
• Understanding of data governance and security practices

Success Metrics

• Pipeline performance and throughput
• System reliability and uptime
• Data accuracy and quality
• Efficiency and cost optimization