Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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У роли понятный профиль инженера данных, современные задачи на AWS и в сфере AI, а также заявлена поддержка обучения. Но зарплата не раскрыта, а требование свободного иврита сужает круг подходящих специалистов.
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Зарплата не указанаСовременный стекПонятные задачиПоддержка развитияНужен иврит
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Описание вакансии
Текст:
Hirify AI/Оригинал
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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