Summary:
Responsible for building, testing, and deploying scalable software solutions that gather, store, and process large volumes of data for analysis.
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#. This role works across back-end systems, APIs, and data-driven applications to support a variety of technical and business needs.
Numbers & Facts
Location
Charlotte, NC
Skills
Amazon Web Services (AWS)unmatched
Analysis Skillsunmatched
Application Programming Interface (API)unmatched
Best Practicesunmatched
Cloud Computingunmatched
Code Reviewsunmatched
Continuous Deployment/Deliveryunmatched
Continuous Integrationunmatched
Cross-Functionalunmatched
Data Analysisunmatched
Data Qualityunmatched
Data Storageunmatched
Database Extract Transform and Load (ETL)unmatched
Debugging Skillsunmatched
Microsoft C# (C Sharp)unmatched
Microsoft Windows Azureunmatched
Python Programming/Scripting Languageunmatched
Requirements Managementunmatched
SQL (Structured Query Language)unmatched
Scripting (Scripting Languages)unmatched
Server Programming/Applicationsunmatched
Software Engineeringunmatched
Testingunmatched
Unit Testunmatched
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