AWS DevOps with GIS & ESRI (ArcGIS)
You will manage AWS infrastructure and Python-based data engineering workflows within a GIS environment. You own the architecture of scalable cloud systems and database schemas.
Responsibilities
- Design and architect scalable cloud infrastructure and database schemas.
- Build and maintain CI/CD pipelines using GitHub and AWS CodePipeline.
- Perform Python code reviews to ensure code quality and standards.
- Engineer data pipelines and manage complex datasets using pandas.
- Develop and manage Python packages and unit testing frameworks.
Required Skills
- 8+ years of professional Python development experience.
- 5+ years of experience working with AWS services.
- Extensive experience with PostgreSQL, PostGIS, AWS RDS, and DynamoDB.
- Strong proficiency in SQL, database schema design, and query optimization.
- Hands-on experience with GitHub and CI/CD pipeline implementation.
- Deep knowledge of data engineering and data pipeline construction.
- Expertise using pandas DataFrames for data manipulation.
- Proven ability in software architecture and design.
- Bachelor's Degree.
Preferred Skills
- Experience with GIS and ESRI products, specifically ArcGIS.
- Direct DevOps engineering experience.