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 recent 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)

📌 Senior Data Engineer (India)
🏢 DataArt
📍 India