Data Engineer, Hebrew Speaker

🔥 0 minutes ago

🇷🇴 Romania – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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AllCloud

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2014

💼 Consulting

📦 Logistics

🏥 Healthcare

Consulting • Logistics • Healthcare

AllCloud is a cloud consulting company that provides tailored AWS and Salesforce solutions to optimize operations and accelerate innovation for businesses. They specialize in cloud platforms, data and AI, and managed services, helping companies in various industries including financial services, retail, and technology. As a recognized AWS Premier Consulting Partner and Salesforce Consulting Partner, AllCloud offers expertise in cloud transformation, Customer 360 insights, and scalable cloud infrastructures.

📋 Description

• 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