We are seeking a highly skilled Full Stack Data Engineer to join our team. This role focuses on designing, developing, and supporting modern data solutions across a cloud-based data stack. The ideal candidate is highly self-motivated, resourceful, and capable of building scalable data pipelines, frameworks, and full stack data applications leveraging Snowflake, Python, SQL, and modern DevOps practices.
Key responsibilities: - Develop and maintain scalable ELT pipelines and data workflows
- Design and implement data models and warehouse structures
- Build full stack data applications and backend services
- Develop Snowflake-based data solutions within cloud environments
- Write high-quality Python and SQL code
- Implement automated testing frameworks
- Develop reusable data engineering frameworks
- Build and maintain CI/CD pipelines using GitHub
- Create reporting and visualization solutions (e.g., Power BI)
- Monitor and resolve production issues ensuring data reliability
- Experience with automated testing and framework development
Key competencies: - Dagster orchestration
- dbt transformations
- Gurobi optimization solver
- Elementary data validation
- Retool development
- GoAnywhere MFT
- Power BI and DAX
- Azure services (ADF, Synapse, Key Vault)
- Snowflake ML/AI or R
- SQL Server, SSIS, SSRS
- Financial services domain experience
- Agile methodologies
- Highly self-motivated with strong ownership
- Extreme personal initiative
- Ability to work independently and in teams
- Highly resourceful problem solver
- Strong communication and analytical skills
- Ability to manage priorities in fast-paced environments
