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AllCloud
AllCloud
201 – 500 Angajați
Sponsor pentru viza H1BAsistență medicalăConsultanțăLogistică
AllCloud este o companie de consultanță în cloud care ajută organizațiile să își modernizeze operațiunile și să își dezvolte capacități digitale scalabile cu AWS și Salesforce. Activitatea sa acoperă transformarea în cloud, datele și inteligența artificială, Customer 360 și serviciile administrate, sprijinind clienți din industrii precum serviciile financiare, comerțul cu amănuntul, tehnologia, logistica și sănătatea. În calitate de AWS Premier Consulting Partner și Salesforce Consulting Partner, AllCloud oferă expertiză specializată în infrastructură cloud, experiența clienților și administrarea continuă a platformelor.
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Locurile de muncă ale companiei

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.

RORomâniaRemoteNormă întreagăNivel mediuSeniorLimbă Obligatorie: englezăLimbă Obligatorie: ebraicăInginer de date
AirflowAmazon RedshiftAWSCloudETLKafkaKubernetesMicroserviciiPythonSparkSQL

Descriere

  • 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.

Cerințe

  • 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.

Beneficii

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

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