Client: Our client is a leading provider of capital and services to the mortgage and financial services industries. It offers attractive risk-adjusted returns while also protecting the existing portfolio and generating long-term value for its investors. The company's investment portfolio includes mortgage servicing-related assets, non-agency securities (and associated call rights), residential loans and other related opportunistic investments.
Project overview: Our team is currently developing a new Data Warehouse and maintain a several applications and services that are tightly integrated with each other and ETL processes support.
Position overview: We are looking for an experienced Senior Data Engineer to design, build, and maintain scalable data solutions in the Azure cloud.
- Responsibilities: Develop and maintain data solutions on Azure and Databricks platforms
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Contribute to new project development and support and maintenance of existing solutions
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Implement data pipelines, transformations, and business logic in Databricks
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Collaborate with cross-functional teams to ensure data accuracy, integrity, and optimal performance
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Manage version control, deployments, and CI/CD processes using Git
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Ensure adherence to best practices in data management and governance
- Requirements: Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field
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Engineering or Mathematics background is preferred
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5+ years of experience with SQL and Python
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3+ years of experience with Azure cloud services
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Strong hands-on experience with Azure SQL Server, Azure Data Factory (ADF), Azure Databricks (highlighted expertise), Azure Data Lake Storage (ADLS), Azure Key Vault, Azure Functions, and Logic Apps
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3+ years of experience with Git
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Experience deploying code using CI/CD pipelines
- Nice to have: Experience with .NET
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Microsoft Certified: Azure Data Engineer Associate
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Databricks Certified Data Engineer (Associate or Professional)
