AllCloud
AllCloud
AllCloud tashkilotlarga AWS va Salesforce yordamida operatsiyalarini modernizatsiya qilish hamda kengaytiriladigan raqamli imkoniyatlarni rivojlantirishda ko‘maklashuvchi bulutli texnologiyalar bo‘yicha konsalting kompaniyasidir. Uning faoliyati bulutli transformatsiya, ma’lumotlar va sun’iy intellekt, Customer 360 hamda boshqariladigan xizmatlarni qamrab oladi. Kompaniya moliyaviy xizmatlar, chakana savdo, texnologiyalar, logistika va sog‘liqni saqlash kabi turli sohalardagi mijozlarni qo‘llab-quvvatlaydi. AWS Premier Consulting Partner va Salesforce Consulting Partner sifatida AllCloud bulutli infratuzilma, mijozlar tajribasi va platformalarni uzluksiz boshqarish bo‘yicha maxsus ekspertizaga ega.

Hebrew-Speaking Data Engineer

Build AWS lakehouse platforms, data pipelines, and AI solutions for AllCloud’s cloud consulting clients. Design scalable architectures and help customers modernize their data systems.

Tavsif

  • Design scalable AWS data platforms and lakehouse architectures with guidance from senior leaders.
  • Build and maintain ETL/ELT pipelines, streaming systems, and data services.
  • Use data modeling, orchestration, governance, and observability practices to support platform scale.
  • Contribute to AI architecture, including RAG pipelines, vector search, and machine learning integrations.
  • Work with customers and internal teams to turn business needs into functional technical designs.
  • Help resolve issues, review code, tune performance, and support production reliability.
  • Contribute to projects that move legacy ETL systems to cloud data warehouses.

Talablar

  • Fluent Hebrew and English are required.
  • Bring 4–6 years of practical experience in data engineering, data architecture, or backend engineering.
  • Have solid experience implementing cloud-native architectures and using AWS data services.
  • Have hands-on experience with at least four or five of these: Databricks, DBT, Snowflake, Airflow, Kafka, Spark, Redshift, S3, AWS Glue, or Lambda.
  • Demonstrate advanced SQL and Python skills.
  • Have experience designing data warehouses and lakehouse architectures and building scalable real-time pipelines.
  • Understand CI/CD, infrastructure as code, and monitoring practices.
  • Communicate well and be comfortable discussing technical topics with customers.
  • Take initiative and ownership of assigned projects.
  • Experience with Amazon Bedrock, SageMaker, or vector databases.
  • Exposure to Kubernetes or microservices architectures.
  • Experience in large-scale sectors such as fintech, gaming, or retail.
  • Previous work in professional or managed services.
  • Familiarity with data quality and observability frameworks.

Imtiyozlar

  • Competitive pay.
  • Bonus incentives.
  • Benefits package.
  • Flexible working hours.
  • Mentoring.
  • Opportunities for learning and personal development.

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