Data Engineer
Summary
Build and optimize data pipelines and feeds, integrate AI agents for SQL querying, and collaborate with analysts on data use cases using Python, SQL, and modern ETL tools.
Responsibilities
- Join the Data team to contribute your technical expertise
- Implement and optimize data feeds and data pipelines
- Work in tandem with a Data Analyst on AI and data use cases
- Develop and integrate AI agents for SQL querying
- Maintain an active technology watch on modern data architectures
Requirements
- 4 to 5 years of experience in data engineering
- Strong proficiency in Python and SQL
- Proven experience with ETL/transformation tools (DBT, Talend)
- Solid knowledge of CI/CD and container environments (Git, Azure DevOps, Docker, Kubernetes, Terraform, Liquibase)
- Familiarity with Power BI and a basic understanding of Artificial Intelligence concepts