Senior Data Engineer (AWS, Spark)

EPAM is global leader in AI transformation engineering and integrated consulting, serving Forbes Global 2000 companies and ambitious startups. With over thirty years of expertise in custom software, product and platform engineering, we empower our clients to become AI-Native enterprises, driving measurable value from innovation and digital investments.

• 5+ years of experience in Data Engineering with exposure to Generative AI/ML-based applications
• Background in building and maintaining large-scale data pipelines and distributed processing systems using Spark with Java or Scala
• Familiarity with AI/ML, Generative AI, or data platforms supporting AI-driven initiatives
• Expertise in AWS cloud environments and cloud-native architectures
• Advanced proficiency in SQL
• Skills in data modeling and modern data lakehouse architectures
• Understanding of data quality, governance, monitoring, and operational best practices
• Competency in building secure, scalable, and highly available data solutions
• Showcase of ETL/ELT development experience
• Proficiency in English at an Upper-Intermediate level (B2) or higher

Nice to have:

• Hands-on experience with Databricks or Snowflake, with ability to work across modern cloud-based data platforms
• Background in Financial Services

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