Data Engineer (Hebrew Speaker)
Core
Design and implement cloud-native Data & AI platforms on AWS, building production-grade architectures for startups and enterprise customers.
Role type
Senior Data Engineer (Cloud & AI)
Builds
Scalable cloud-native data platforms, modern lakehouse architectures, ETL/ELT pipelines, streaming architectures, and GenAI solutions (RAG, vector search).
Domain
Cloud infrastructure (AWS) + Data Engineering + Generative AI
Deliverable
production ML models
Required skills
Cloud-native architecture design, ETL/ELT pipeline development, Data modeling, Data orchestration, Data governance, Observability, RAG pipeline implementation, Vector search, ML integration, Advanced SQL, Python development, Data warehouse design, Real-time data pipeline construction, CI/CD, Infrastructure as Code (IaC), Monitoring practices.
Preferred skills
Amazon Bedrock, SageMaker, Vector databases, Kubernetes, Microservices architectures, High-scale environment experience (fintech, gaming, retail), Professional Services/Managed Services background, Data quality frameworks.
Technologies
AWS, Databricks, DBT, Snowflake, Airflow, Kafka, Spark, Redshift, S3, AWS Glue, Lambda, Amazon Bedrock, SageMaker, Kubernetes.
Responsibilities
Design scalable cloud-native data platforms and lakehouse architectures on AWS; Build and maintain robust ETL/ELT pipelines and streaming architectures; Apply best practices for data modeling, orchestration, governance, and observability; Assist in architecting modern AI solutions including RAG pipelines and vector search; Translate business requirements into functional technical designs; Participate in troubleshooting, code reviews, and production support.
Seniority
Mid-Senior, hands-on IC
