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. With over thirty years of expertise, EPAM empowers clients to become AI-Native enterprises, driving value from innovation and digital investments.

• 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 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 quality and reliability of data systems
• Contribute to EPAM strategic data projects and enterprise data platform initiatives

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