Data engineer

We are looking for an experienced Senior Data Engineer to join a US-based project. You will work closely with US-based engineers and stakeholders to build, maintain and improve scalable data platforms.

• Build and optimize large-scale data pipelines on Azure Databricks (PySpark, Delta Lake)
• Design reliable ETL/ELT ingestion and transformation processes
• Set up CI/CD and automated deployments (Git, Azure DevOps, Jenkins, Databricks Asset Bundles)
• Ensure data quality: validation, testing, monitoring, troubleshooting production pipelines
• Integrate external systems via REST APIs
• Support deployments across dev, test and production; resolve production issues
• Communicate directly with US clients and stakeholders

• Strong hands-on Azure Databricks: Jobs, Workflows, Unity Catalog, Delta Lake, Databricks Asset Bundles (DAB)
• Advanced Python and SQL; PySpark / Apache Spark
• Good understanding of Azure services, cloud infrastructure, networking and security
• DevOps and CI/CD: Git, Azure DevOps, Jenkins, release management
• SDLC, Agile, version control; production support experience
• Advanced / fluent English: daily meetings with US teams, explaining technical solutions, professional emails and documentation
• Ownership, problem-solving, ability to work independently; availability during US business hours
• Будет плюсом: Healthcare or financial data experience; enterprise data platforms; Terraform / Infrastructure as Code; Jira, ServiceNow; AI coding assistants; technical architecture diagrams

• long-term remote work on a US project, international team, compensation based on experience and interview results.