Data Engineer, Hebrew Speaker

• Design and build scalable cloud-native data platforms and modern lakehouse architectures on AWS under the guidance of senior leadership
• Build and maintain robust ETL/ELT pipelines, streaming architectures, and data services
• Apply best practices for data modeling, orchestration, governance, and observability to ensure platform scalability
• Assist in architecting modern AI solutions, including RAG pipelines, vector search, and ML integrations
• Work closely with customers and internal teams to translate business requirements into functional technical designs
• Participate in troubleshooting, code reviews, performance tuning, and production support to drive platform reliability
• Support modernization projects involving the transition from legacy ETL systems to cloud-based data warehouses

• Fluency in Hebrew and English is mandatory
• 4–6 years of hands-on experience in Data Engineering, Data Architecture, or Backend Engineering
• Solid experience implementing cloud-native architectures and leveraging AWS data services
• Strong hands-on experience with at least 4-5 of the following: Databricks, DBT, Snowflake, Airflow, Kafka, Spark, Redshift, S3, AWS Glue, or Lambda
• Advanced SQL and Python development skills
• Experience with data warehouse design, lakehouse architectures, and building scalable real-time data pipelines
• Understanding of CI/CD, Infrastructure as Code (IaC), and monitoring practices
• Excellent interpersonal skills with a "people person" attitude and the ability to engage in technical discussions with customers
• A proactive, can-do attitude with a strong sense of ownership over assigned projects
• Experience with Amazon Bedrock, SageMaker, or vector databases
• Exposure to Kubernetes or microservices architectures
• Experience in high-scale environments such as fintech, gaming, or retail
• Previous experience in a Professional Services or Managed Services environment
• Familiarity with data quality and observability frameworks

• Competitive salaries
• Bonus incentives
• Benefits
• Flexible hours
• Mentoring
• Learning and personal development opportunities