Senior Data Integration Engineer (Databricks/Snowflake)

EPAM is a global leader in AI transformation engineering and integrated consulting, serving Forbes Global 2000 companies and startups. The company has over thirty years of expertise in custom software, product, and platform engineering, working to empower clients to become AI-native enterprises. This position is part of EPAM's Data Practice focused on strategic data projects, operating in Poland, Wroclaw.

• 3+ years of professional experience as a Data Engineer or in a similar role
• Advanced knowledge of SQL and Python
• Hands-on experience with public cloud platforms such as AWS and/or Azure
• Experience with DBMS and ETL/ELT tools
• Hands-on experience with Databricks and/or Snowflake
• Practical experience with data acquisition using APIs, FTP downloads, and other data sources
• Experience with ETL processes, data transformation, and normalization from raw data to structured database schemas
• Experience with data storage solutions including raw files and database systems
• Experience building components for enterprise data platforms such as Data Warehouses, Operational Data Stores, and data access layers
• Experience developing data access solutions including APIs, file extracts, and user query interfaces
• Bachelor’s degree in Computer Science, Information Technology, or a related technical field
• Strong communication and collaboration skills
• Good analytical and problem-solving skills
• Ability to work effectively in a distributed, team-oriented environment

• Design, build, and manage enterprise data solutions in public cloud environments such as AWS and Azure
• Develop and maintain data pipelines and components of enterprise data platforms
• Implement data acquisition processes using APIs, FTP, and other data sources
• Perform data transformation, normalization, and integration from raw data to structured database schemas
• Build and maintain data storage solutions including raw files, databases, and data platforms
• Develop data distribution and access solutions including APIs, file extracts, user queries, and access layers
• Implement secure and auditable data processes to ensure data integrity, accuracy, and availability
• Collaborate with data scientists, data architects, and other stakeholders to understand and deliver data requirements
• Troubleshoot data-related issues and continuously improve the quality and reliability of data systems
• Contribute to EPAM strategic data projects and enterprise data platform initiatives