Amazon Web Services (AWS), Analysis Skills, Application Programming Interface (API), Best Practices, Cloud Computing, Code Reviews, Continuous Deployment/Delivery, Continuous Integration, Cross-Functional, Data Analysis, Data Quality, Data Storage, Database Extract Transform and Load (ETL), Debugging Skills, Microsoft C# (C Sharp), Microsoft Windows Azure, Python Programming/Scripting Language, Requirements Management, SQL (Structured Query Language), Scripting (Scripting Languages), Server Programming/Applications, Software Engineering, Testing, Unit Test
Hybrid: 2-3 days onsite in Charlotte, NC
Summary:
Responsible for building, testing, and deploying scalable software solutions that gather, store, and process large volumes of data for analysis.
This role works across back-end systems, APIs, and data-driven applications to support a variety of technical and business needs.
Responsibilities:
- Develop ETL pipelines, ensure data quality, optimize data storage solutions.
- Develop and maintain server-side applications, APIs, and scripts using Python and C#.
- Collaborate with cross-functional teams to gather requirements and implement solutions.
- Integrate databases, third-party services, and APIs into applications.
- Write clean, efficient, and well-documented code following best practices.
- Conduct unit testing and debugging to ensure application reliability.
- Participate in code reviews and support continuous integration and deployment processes.
- Possess strong analytical thinking and ability to work independently or in agile teams.
Skills: Python, SQL, cloud data tools experience (e.g., AWS Glue, Azure Data Factory), C#.