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# Senior Global Azure Data Engineer

- **Company:** Ortho Clinical Diagnostics
- **Location:** Prague, OK, United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Amazon Web Services, Amazon S3, Apache HTTP Server, Microsoft Azure, Big Data, Cloud Computing, Databases, Relational Databases, Database Design, Distributed Computing Environment, Apache Hive, Python (Programming Language), Microsoft SQL Server, SQL Azure, Scrum Methodology, Standard Sql, Azure Data Lake, Unstructured Data, Azure Data Factory, Apache Spark, Git, Database Migration, Build Management, Data Lakes, Azure Synapse Analytics, Software Version Control, Data Pipelines, Serverless Computing, Key Vault, Legacy Systems, Databricks
- **Published:** August 24, 2026
- **Apply:** https://orthoclinical.wd1.myworkdayjobs.com/Search/job/Czechia/Senior-Global-Azure-Data-Engineer_R0016219

## About the Role

We're looking for a blend of technical expertise and mindset. You don't need everything-but strong Databricks and Spark experience is highly valued.

Core Experience

 * 3+ years with cloud platforms (Azure preferred, AWS welcome)
 * Hands-on with:
 + Azure Data Factory (ADF)
 + Azure Databricks (Notebooks, Workflows, Delta Live, Unity Catalog)

 * Experience with:
 + Delta Lake or Apache Iceberg
 + MS SQL Server, Azure SQL, or similar RDBMS
 + Database design & data modeling
 + Distributed big data processing (batch & streaming)
 + Source control (Azure DevOps or Git)
 + Database migration from legacy systems to cloud

Nice to Have:

 * Azure Synapse (Dedicated / Serverless / Spark Pools)
 * ADLS Gen2 or AWS S3
 * Azure Functions
 * Strong SQL, Hive, Spark, Python, Polybase
 * Azure security principles (Key Vault, access controls, networking)

Your Mindset:

 * Problem-solver who thrives on complexity
 * Self-motivated and detail-oriented
 * Able to prioritize and execute efficiently
 * Agile team player
 * Passionate about learning and growing

## Description

* Design and build robust, scalable data pipelines in Azure
 * Provision and integrate structured, semi-structured, and unstructured data
 * Develop solutions using Azure Data Factory and Azure Databricks
 * Implement distributed data processing (batch & streaming)
 * Apply Lakehouse / Medallion architecture principles
 * Optimize, partition, and performance-tune large datasets
 * Migrate legacy on-prem databases to modern cloud platforms
 * Collaborate in Agile/Scrum teams to deliver high-impact solutions
 * Continuously learn, innovate, and push boundaries


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