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Senior Data Engineer (Azure Databricks & DevOps, Remote, US Project)

middleremote1,500 USD · period not specifiedТашкент, UZScore 76/100today
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📊 Data Engineering: salaries and demand on the market
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agileazureci/cdclouddatabricksdelta lakedevopsgitjenkinsjirapysparkpython
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Description
Senior Data Engineer (Azure Databricks & DevOps) — remote, US-based project, US business hours. English: Advanced / Fluent (required). 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. Responsibilities 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 Requirements 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 Nice to have Healthcare or fin
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