onsite
Data Engineer - Operational Intelligence
Data Engineer
Data Engineer focused on operational intelligence, building and maintaining data pipelines, integrating ArcGIS services, and developing APIs for robust data analysis and reporting.
About the role
Key Responsibilities
- Design, develop, and maintain scalable ETL pipelines to ingest, transform, and store operational data from multiple sources.
- Implement and manage ArcGIS APIs and services to support spatial data analysis and visualization.
- Collaborate with analysts and product teams to define data models, ensure data quality, and deliver actionable insights.
- Optimize database performance and write efficient SQL queries for reporting and analytics.
- Automate data workflows and monitoring using scripting (Python) and orchestration tools.
Requirements
- Strong experience with Python for data processing and API development.
- Proficiency in SQL and relational database design (e.g., PostgreSQL, SQL Server).
- Hands‑on experience with ArcGIS platform, including REST services and spatial data handling.
- Solid understanding of ETL concepts and experience with data integration tools or frameworks.
- Ability to work in an agile environment, communicate technical concepts clearly, and troubleshoot data pipelines efficiently.