data engineer for data warehouse solutions

EPAM provides enterprise software products, open source solutions, and accelerators.

• Design and develop data warehouse solutions using MS SQL, Oracle, and Databricks;
• Implement and maintain ETL/ELT pipelines with SSIS, dbt, and MS Fabric;
• Ensure efficient data integration, transformation, and data quality across systems;
• Support the creation and optimization of semantic models and reporting layers;
• Contribute to Power BI dashboards and analytics solutions;
• Collaborate with cross-functional teams to deliver end-to-end data flows;
• Act as a trusted advisor while contributing to architecture improvements for the customer;
• Guide discussions toward the best technical and business solutions;
• Take a hands-on, delivery-focused approach to the agreed backlog;
• Support the team in achieving its sprint goals during the migration to Databricks using an AI-driven approach.

• 3+ Years of experience in backend data warehouse development with MS SQL, Oracle, and Databricks;
• Hands-on experience with ETL/ELT tools such as SSIS, dbt, and MS Fabric;
• Understanding of data modeling and data processing pipelines;
• Bachelor's or Master's degree in Computer Science, Information Systems, Data Analytics, or a related field;
• English proficiency at B2+ level;
• Nice to have: familiarity with semantic models, exposure to Power BI or other BI/frontend tools, Microsoft certifications in Azure Data Engineering, Fabric, or Power BI.

• No conditions specified