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.
Наемаме ви в компанията, не в проект
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
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
Nice to have
Experience with .NET
Microsoft Certified: Azure Data Engineer Associate
Databricks Certified Data Engineer (Associate or Professional)
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We are looking for a Data Engineer with a strong technical background and a deep understanding of the data lifecycle, from acquisition and integration to modeling and exploitation
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As a Senior Data Engineer, you will be a technical cornerstone of the data platform team. You will be responsible for the end-to-end engineering of data pipelines, from ingestion to transformation, ensuring that the Snowflake warehouse is optimized for complex wealth management analytics
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