data engineer for AI/ML applications

The team builds data pipelines and distributed processing systems that power AI-driven initiatives, supporting Gen AI and ML applications.

• Design, build, and maintain large-scale data pipelines and distributed processing systems using Spark
• Develop and support data platforms for AI/ML and Generative AI applications
• Architect and implement solutions in AWS cloud environments using cloud-native patterns
• Build and optimize ETL/ELT workflows for analytical and operational use cases
• Implement data modeling strategies aligned with modern data lakehouse architectures
• Ensure data quality, governance, and monitoring across data assets
• Deliver secure, scalable, and highly available data solutions following operational best practices
• Collaborate with cross-functional teams on AI-driven business initiatives
• Write advanced SQL queries and production-grade code in Java, Scala, or Python

• 5+ Years of Data Engineering experience, including exposure to Gen AI/ML-based applications
• Experience building and maintaining large-scale data pipelines and distributed processing systems using Spark with Java, Scala, or Python
• Familiarity with AI/ML, Generative AI, or data platforms supporting AI-driven initiatives
• Expertise in AWS cloud environments and cloud-native architectures
• Advanced SQL proficiency
• Skills in data modeling and modern data lakehouse architectures
• Understanding of data quality, governance, monitoring, and operational best practices
• Ability to build secure, scalable, and highly available data solutions
• ETL/ELT development experience
• English proficiency at Upper-Intermediate level (B2) or higher
• Будет плюсом: hands-on experience with Databricks or Snowflake and the ability to work across modern cloud-based data platforms; experience with both platforms; background in Financial Services

• Условий в вакансии нет