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Big Data Engineering Team Leader

OnTarget Communications

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Skills

Required

  • Big Data / Backend / Data Engineering
  • observability
  • monitoring
  • Java development
  • Spring
  • Kafka
  • Flink / Spark / Beam / Kafka Streams
  • AWS / Azure / GCP
  • PostgreSQL
  • MySQL
  • Node.js
  • NestJS / Express
  • GitHub

Preferred

  • AI
  • distributed systems
  • enable intelligent automation
  • Own services end-to-end

Full Time Model: Hybrid Location: Rishon LeZion Industry: Software & Information Technology Description: What if the systems you built could detect problems, make decisions, and take action before users even realize something is wrong?

As a Big Data Team Leader , you'll lead the engineering efforts that power this vision, building highly scalable data platforms that sit at the heart of next-generation AI-driven automation.

About OnTarget Communications

Our client is transforming Digital Employee Experience (DEX) through Agentic AI and Autonomous Endpoint Management, processing millions of real-time signals to create self-healing IT environments.

Responsibilities

  • You'll Do Lead the design and development of high-performance, real-time data processing systems.
  • Build and scale streaming pipelines handling millions of events daily.
  • Drive architecture, reliability, observability, and performance across production environments.
  • Collaborate with AI, backend, and platform teams to enable intelligent automation.
  • Mentor engineers and promote engineering excellence, best practices, and technical innovation.
  • Own services end-to-end, from development and deployment through monitoring and optimization.
  • You'll Do Lead the design and development of high-performance, real-time data processing systems.
  • Build and scale streaming pipelines handling millions of events daily.
  • Drive architecture, reliability, observability, and performance across production environments.
  • Collaborate with AI, backend, and platform teams to enable intelligent automation.
  • Mentor engineers and promote engineering excellence, best practices, and technical innovation.
  • Own services end-to-end, from development and deployment through monitoring and optimization.

Requirements

  • We're Looking For 5+ years of experience in Big Data, Backend, or Data Engineering.
  • Java development experience (Spring, Vert.x, or similar).
  • Hands-on expertise with Kafka and streaming technologies such as Flink, Spark, Beam, or Kafka Streams .
  • Experience building distributed systems, microservices, and cloud-native applications (AWS, Azure, or GCP).
  • Strong understanding of observability, monitoring, troubleshooting, and operating production systems at scale.
  • Experience with PostgreSQL, MySQL, Redis, and ClickHouse .
  • Strong software design, object-oriented programming, and clean code practices.
  • Leadership experience or a proven ability to drive technical initiatives and mentor others.
  • Nice to Have Node.js (NestJS/Express).
  • Experience with AI-powered development tools such as GitHub Copilot or Cursor.
  • If you're excited by large-scale distributed systems, real-time data streaming, and AI-driven innovation, we'd love to hear from you.

Preferred

  • Passion for emerging technologies, AI, and large-scale distributed systems.