What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- 2+ years of professional software development experience
- Solid understanding of data warehousing and ETL/ELT patterns
- Experience with Microsoft Azure including ADLS Gen2 Azure Synapse Analytics Azure Data Factory and Self-hosted Integration Runtime
- Strong foundational skills in SQL and Java
- Familiarity with Azure networking including VNET private endpoints and firewalls
- Knowledge of medallion architecture principles
- Proficiency with Azure DevOps for CI/CD pipelines YAML build release automation repo management branching strategies and code reviews
- Bachelor's degree in Computer Science Information Technology or related field or equivalent practical experience
Nice to have
- Analytical
- Detail-oriented
- Excellent communication
- Self-motivated
- Proactive
- Highly organized
- Eager to learn
Day to day
- Assist in designing and implementing backend and frontend components for enterprise data solutions on Azure.
- Build and maintain complex data pipelines in Azure Data Factory with monitoring, triggers, parameterization, and error handling.
- Support Azure Synapse, ADLS Gen2, DevOps automation, security controls, and integration of analytics and AI/ML solutions within federal systems.