Dot Net developer with AWS AND Snowflake

American IT Systems•Dallas, GA

1d•$60 - $65•Onsite

About The Position

We are seeking a skilled Software Engineer to join Experian's Audience Engine team. This role focuses on building and maintaining scalable applications for audience selection, creation, and delivery to multiple destinations. You will work with modern technologies and collaborate with cross-functional teams to deliver innovative solutions.

Requirements

5 -8 years of experience delivering enterprise class applications using C#, .NET Framework 4.7.2 or higher, and object-oriented programming.
Experience with Visual Studio and Visual Studio Code.
Solid understanding of SQL Server and relational database design.
Hands-on experience with JavaScript, TypeScript, React, HTML, and CSS.
Familiarity with GitHub or other version control systems.
Working knowledge of Snowflake for data warehousing.
Basic understanding of AWS services (EC2, S3, etc.).
Awareness of AI-assisted development tools and willingness to adopt them.
Experience writing and maintaining unit and integration tests.
Familiarity with Jira or similar tools for agile development workflows.
Actively participate in Agile development processes.
Understanding and experience with Agile methodologies (Scrum).

Nice To Haves

Experience with CI/CD pipelines and GitHub Actions for automated builds and deployments.
Knowledge of modern software architecture patterns (e.g., microservices).
Good-to-have experience in one or more of the following languages: Java, Scala, Python.
Familiarity with Airflow for workflow orchestration.
Exposure to data engineering concepts and ETL pipelines.
open-source contribution

Responsibilities

Design, develop, and maintain applications using C# and .NET Framework 4.7.2 or higher.
Work with Visual Studio 2022 or higher and Visual Studio Code for development.
Develop and optimize database solutions using SQL Server and Snowflake.
Build responsive and dynamic user interfaces using JavaScript, TypeScript, React, HTML, and CSS.
Collaborate using GitHub or other source control tools.
Implement unit and integration testing to ensure code quality and reliability.
Work with AWS services for cloud integration.
Utilize AI-powered development tools such as GitHub Copilot and similar technologies to enhance productivity.
Participate in code reviews, troubleshooting, and performance optimization.
Use Jira or similar tools for task management, sprint planning, and issue tracking.