Data Engineer, Hebrew Speaker
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Job Description
Data Engineer building AWS lakehouse, ETL, and AI platforms for AllCloud’s cloud consulting clients. Designing scalable architectures and supporting customer modernization projects.
Responsibilities:
- 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
Requirements:
- 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
Benefits:
- Competitive salaries
- Bonus incentives
- Benefits
- Flexible hours
- Mentoring
- Learning and personal development opportunities
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