Data Engineer

Grid Dynamics provides technology consulting, platform and product engineering, AI, and advanced analytics services. The company helps enterprise organizations address technical challenges and achieve business outcomes during digital transformation.

• Design, implement, and optimize highly scalable ETL/ELT data pipelines using Azure Data Factory (ADF) and Databricks (PySpark);
• Implement and maintain the Medallion Architecture across Raw, Silver, and Gold layers using ADLS and Delta Lake;
• Develop and fine-tune the Gold Layer as a semantic layer for accurate, performant, and governance-compliant business reporting through Power BI;
• Drive CI/CD adoption using Azure DevOps;
• Embed observability practices across pipelines to ensure data integrity and operational reliability.

• Expertise in Azure as the core cloud platform;
• Experience with Databricks and PySpark;
• Experience with ADLS and Delta Lake;
• Experience with Azure Data Factory (ADF);
• Experience with Azure DevOps for CI/CD;
• Experience with Power BI;
• Knowledge of Medallion Architecture and observability.

• Competitive salary;
• Flexible schedule;
• Professional development opportunities;
• Opportunity to work on bleeding-edge projects;
• Work with a highly motivated and dedicated team.