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AllCloud
AllCloud
201 – 500 Darbinieki
H1B vīzas sponsorsKonsultācijasLoģistikaVeselības aprūpe
AllCloud ir mākoņdatošanas konsultāciju uzņēmums, kas palīdz organizācijām modernizēt darbību un veidot mērogojamas digitālās iespējas, izmantojot AWS un Salesforce. Uzņēmuma darbība aptver mākoņtehnoloģiju transformāciju, datus un mākslīgo intelektu, Customer 360 risinājumus un pārvaldītus pakalpojumus. AllCloud atbalsta klientus tādās nozarēs kā finanšu pakalpojumi, mazumtirdzniecība, tehnoloģijas, loģistika un veselības aprūpe. Kā AWS Premier Consulting Partner un Salesforce Consulting Partner AllCloud nodrošina specializētas zināšanas mākoņinfrastruktūrā, klientu pieredzē un nepārtrauktā platformu pārvaldībā.
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Vakances uzņēmumā

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.

RORumānijaAttālinātiPilna slodzeVidējais līmenisVecākais speciālistsNepieciešamā Valoda: angļuNepieciešamā Valoda: ivritsDatu inženieris
AirflowAmazon RedshiftAWSETLKafkaKubernetesMākonisMikropakalpojumiPythonSparkSQL

Apraksts

  • 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.

Prasības

  • 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.

Priekšrocības

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

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