Azure Data Engineer

Positions: Data Engineer

Job Summary: We are seeking a highly skilled Data Engineer to join our dynamic and fast‐paced team.

The ideal candidate should possess exceptional problem‐solving skills and the ability to work collaboratively in a team environment.

The successful candidate will play a crucial role in designing, developing, and maintaining our data infrastructure to support our business operations and decision‐making processes.

Job Responsibilities:

 Design, develop, and maintain data pipelines and ETL processes using SQL Server, Azure Data Factory, and Python.

 Optimize and tune SQL queries, stored procedures, and data processing workflows for performance and scalability.

 Develop and maintain data models to support business requirements and data analysis.

 Collaborate with business users to understand data needs and design efficient data solutions.

 Implement data governance policies and ensure data integrity and quality.

 Automate data processes and workflows using PowerShell and other scripting languages.

 Monitor and troubleshoot data pipelines, resolving any issues or bottlenecks that may arise.

 Work closely with the infrastructure team to optimize data storage, data processing, and data transfer in the Azure Cloud environment. Required Qualifications:

 Bachelor's degree in Computer Science, Engineering, or a related field.

 Strong programming and performance tuning skills in SQL Server, Azure Data Factory, and Python.

 Solid understanding of data modeling concepts and experience with designing efficient data models.

 Experience with performance tuning and optimization techniques for data processing and storage.

 Familiarity with Azure Cloud services and technologies.

 Knowledge of Git version control system.

 Excellent problem‐solving and analytical skills.

 Strong communication and collaboration skills.

 Ability to work in a fast‐paced, dynamic environment and juggle multiple projects simultaneously. Preferred:

 Experience in the structured finance space specializing in residential mortgages.

 Experience with other cloud platforms such as AWS or Google Cloud.

 Familiarity with big data technologies such as Hadoop, Spark, or Kafka.

 Knowledge of machine learning and data science concepts.

 Experience with data visualization tools such as Tableau or Power BI.