Senior Data Engineer

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.

• Position overview: We are looking for an experienced Senior Data Engineer to design, build, and maintain scalable data solutions in the Azure cloud.

• Technology stack: Azure SQL Server, Azure Data Lake, Azure Data Factory, MS SQL DB, Power BI, Power App, Power Platform, StarRocks DB, Apache Flink

• Responsibilities: Develop and maintain data solutions on Azure and Databricks platforms

• Contribute to new project development and support and maintenance of existing solutions

• Implement data pipelines, transformations, and business logic in Databricks

• Collaborate with cross\-functional teams to ensure data accuracy, integrity, and optimal performance

• Manage version control, deployments, and CI/CD processes using Git

• 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

• Engineering or Mathematics background is preferred

• 5\+ years of experience with SQL and Python

• 3\+ years of experience with Azure cloud services

• 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

• 3\+ years of experience with Git

• Experience deploying code using CI/CD pipelines

• Experience with Power BI