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11 дней назад

Data Engineer (Hebrew Speaker)

Формат работы
onsite
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
Romania
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR
Data Engineer (Hebrew Speaker) (AWS/Data & AI): Designing and building cloud-native data platforms, lakehouse architectures, ETL/ELT pipelines, and AI solutions on AWS with an accent on scalable data services, real-time processing, and customer-facing technical delivery. Focus on building RAG and vector search pipelines, modernizing legacy ETL systems, tuning production platforms, and translating business requirements into technical designs.

Location: Bucharest, Romania

Company

hirify.global provides AI-led professional and managed cloud services, including AWS and Salesforce migrations, implementations, and ongoing platform management for startups and enterprise customers.

What you will do

  • Design and build scalable cloud-native data platforms and lakehouse architectures on AWS.
  • Develop and maintain ETL/ELT pipelines, streaming architectures, and data services.
  • Apply data modeling, orchestration, governance, observability, and reliability best practices.
  • Support AI solutions including RAG pipelines, vector search, and ML integrations.
  • Translate customer and business requirements into functional technical designs.
  • Participate in troubleshooting, code reviews, performance tuning, production support, and legacy ETL modernization.

Requirements

  • Fluency in Hebrew and English is mandatory.
  • 4–6 years of experience in Data Engineering, Data Architecture, or Backend Engineering.
  • Hands-on experience with cloud-native architectures and AWS data services.
  • Strong experience with at least 4–5 of Databricks, DBT, Snowflake, Airflow, Kafka, Spark, Redshift, S3, AWS Glue, or Lambda.
  • Advanced SQL and Python skills, plus experience with data warehouse design, lakehouse architectures, and scalable real-time pipelines.
  • Understanding of CI/CD, Infrastructure as Code, monitoring, customer collaboration, and technical ownership.

Nice to have

  • Experience with Amazon Bedrock, SageMaker, or vector databases.
  • Exposure to Kubernetes or microservices architectures.
  • Experience in high-scale fintech, gaming, or retail environments.
  • Professional Services or Managed Services experience.
  • Familiarity with data quality and observability frameworks.

Culture & Benefits

  • Learning and personal development supported by experienced leaders.
  • Competitive salary and bonus incentives.
  • Benefits and flexible working hours.
  • Mentoring and a collaborative environment focused on technical excellence.

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