Data Engineer, Hebrew Speaker

This is a fully remote position, open to applicants in Romania.

📋 Description

• Design and develop scalable cloud-native data platforms and modern lakehouse architectures on AWS with guidance from senior leadership.

• Create and manage robust ETL/ELT pipelines, streaming architectures, and data services.

• Implement best practices for data modeling, orchestration, governance, and observability to enhance platform scalability.

• Assist in designing modern AI solutions, including RAG pipelines, vector search, and ML integrations.

• Collaborate closely with customers and internal teams to convert business requirements into effective technical designs.

• Engage in troubleshooting, code reviews, performance optimization, and production support to ensure platform reliability.

• Support modernization initiatives that involve transitioning from legacy ETL systems to cloud-based data warehouses.

⛳️ Requirements

• Proficiency in Hebrew and English is essential.

• 4–6 years of practical experience in Data Engineering, Data Architecture, or Backend Engineering.

• Strong background in implementing cloud-native architectures and utilizing AWS data services.

• Significant hands-on experience with at least 4-5 of the following technologies: Databricks, DBT, Snowflake, Airflow, Kafka, Spark, Redshift, S3, AWS Glue, or Lambda.

• Advanced skills in SQL and Python development.

• Experience in data warehouse design, lakehouse architectures, and constructing scalable real-time data pipelines.

• Familiarity with CI/CD, Infrastructure as Code (IaC), and monitoring practices.

• Exceptional interpersonal skills with a "people person" demeanor, capable of engaging in technical discussions with clients.

• A proactive and can-do attitude, exhibiting strong ownership of assigned projects.

• Experience with Amazon Bedrock, SageMaker, or vector databases.

• Exposure to Kubernetes or microservices architectures.

• Experience in high-scale environments such as fintech, gaming, or retail.

• Prior experience in a Professional Services or Managed Services setting.

• Knowledge of data quality and observability frameworks.

🏝️ Benefits

• Competitive salaries.

• Bonus incentives.

• Comprehensive benefits.

• Flexible working hours.

• Mentoring opportunities.

• Learning and personal development resources.