VTG needs to transform financial data into actionable insights for a mission-driven customer.
Requirements
- Python
- Structured Query Language (SQL)
- Apache Airflow
- Apache Hop
- Experience normalizing raw, unstructured, and structured data
- Experience building, optimizing, and implementing ETL processes and data pipelines
- Experience with Amazon Web Services (AWS)
Responsibilities
- Develop, optimize, and maintain robust ETL processes and data pipelines
- Leverage expertise in Python and SQL to condition and normalize both raw and structured data
- Implement cutting-edge technology, including AI models, to improve data fidelity and accelerate data engineering tasks
- Build new and repeatable workflows to support the team's objectives
- Deploy scalable solutions in a cloud environment using Amazon Web Services (AWS)
- Support the team in conditioning financial data
- Play a key role in the adoption of modern data engineering practices
Other
- Active TS/SCI with Polygraph required
- Bachelor’s degree in computer science, Software Engineering, or related field
- Ability to work independently and collaboratively
- Desired: Experience with financial data
- Desired: Experience with language translation models
- Desired: Experience using Kubernetes
- Desired: Bachelor's Degree Preferred
