Architect and implement scalable .NET (C#) services and Python-based data processing solutions.
Lead development of robust data pipelines in Azure Databricks and other cloud-native platforms.
Drive adoption of AI-assisted development tools to enhance productivity and code quality.
Solve complex technical problems across systems, data workflows, and integrations, applying deep analytical and engineering expertise.
Collaborate with cross-functional teams to define technical requirements and solution designs.
Conduct code reviews, mentor junior developers, and promote best practices in software engineering.
Ensure high standards of testing, CI/CD integration, and system reliability.
Contribute to strategic decisions around data architecture, cloud infrastructure, and platform evolution.

Requirements

5+ years of experience in software development with strong proficiency in C#/.NET (preferably .NET 6+).
Advanced Python skills, particularly in data engineering and transformation.
Deep understanding of cloud-native architectures and data platforms (Azure preferred).
Proven experience with ETL/ELT pipelines, data validation, and analytics workflows.
Strong grasp of software design principles, including OOP, dependency injection, and event-driven systems.
Experience with git-based source control and agile development methodologies.
Excellent communication and leadership skills.

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

.NETC#Pythondata processingdata pipelinesETLELTOOPdependency injectionevent-driven systems

Soft Skills

leadershipcommunicationcollaborationmentoringproblem-solvinganalytical skillscode reviewbest practices