Big Data Engineer
Posted 27 days ago · 0 applicants
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The role in plain words
- 3-6 years of backend or data engineering experience
- Strong Java skills (Spring, Vert.x, or similar)
- Kafka and stream-processing expertise (Flink, Spark, Beam, Kafka Streams)
- Experience with distributed systems, microservices, and cloud platforms
- Strong understanding of performance tuning and observability
- Node.js experience
- Familiarity with GitHub Copilot, Cursor, or similar AI development tools
Extracted from the job description · kept up to date automatically
Who this suits
Full job description
Original listing · kept for referenceLocation: Rishon LeTsiyon
Model: Hybrid
Scope: Full Time, Fully Employed
Description:
As a Big Data Engineer, you'll design, build, and scale the data infrastructure behind our platform. You'll work on distributed systems, real-time streaming pipelines, and production services that handle data at scale.
Responsibilities
• Build high-throughput, low-latency streaming pipelines
• Design and scale distributed data systems
• Own services end-to-end (development, deployment, operations)
• Partner with AI and backend teams on real-time data solutions
• Optimize performance, reliability, and observability
• Troubleshoot and improve production systems
Qualifications
• 3-6 years of backend or data engineering experience
• Strong Java skills (Spring, Vert.x, or similar)
• Kafka and stream-processing expertise (Flink, Spark, Beam, Kafka Streams)
• Experience with distributed systems, microservices, and cloud platforms
• Strong understanding of performance tuning and observability
• Experience with PostgreSQL, MySQL, Redis, and ClickHouse
• Ownership mindset and strong engineering fundamentals
Nice to Have
• Node.js experience
• Fintech Background
• Familiarity with GitHub Copilot, Cursor, or similar AI development tools
Questions about this role
- This listing did not state a salary. We only show pay when the employer publishes it.
- 3-6 years of backend or data engineering experience, Strong Java skills (Spring, Vert.x, or similar), Kafka and stream-processing expertise (Flink, Spark, Beam, Kafka Streams), Experience with distributed systems, microservices, and cloud platforms, Strong understanding of performance tuning and observability