Data Team Lead (Hands-on)

Leadership & Code Quality: Directly lead, mentor, and manage the team while actively conducting Code Reviews (CRs) and setting high engineering standards. Hands-on Development: Drive core system development (at least 50% hands-on) with a strong focus on Python. Architecture & Data Pipelines: Lead the design and architecture of distributed systems, high-performance data pipelines, and data-fusion algorithms. Environment Management: Build and deploy scalable solutions across both Public Cloud and secure, closed On-Prem environments. Optimization & SLA: Ensure data integrity and optimize complex bulk queries to meet strict response-time targets. Management: 3+ years of experience leading a development team or serving as a Tech Lead for data/backend teams. Python Mastery: 4+ years of hands-on experience with Python (Must). Data Engineering: 5+ years of proven experience as a Big Data Backend or Data Engineer. Environments & Infrastructure: Deep understanding of Cloud environments alongside containerized On-Prem infrastructure (OpenShift, Kubernetes, Docker, Linux). Databases: Strong experience with SQL and NoSQL (PostgreSQL and OpenSearch/ElasticSearch – a significant advantage). Data Ops & CI/CD: Proven experience processing large-scale data sets and working with CI/CD methodologies (e.g., GitLab). Education: BSc/BA in Computer Science, Software Engineering, or a related field. Advantages Background in the Cybersecurity industry or service in elite IDF technology units. Experience with vector embeddings and AI-based RAG systems.