About the Position
We are seeking a Data Engineer to support data-driven decision-making by delivering reliable, high-quality data. This role focuses on optimizing data ingestion, structuring, and accessibility for analytics and reporting, ensuring stakeholders have timely, accurate insights to inform strategic and operational decisions.
Responsibilities
- Build and maintain ingestion pipelines into Snowflake using Azure-native services
- Assess ingestion feasibility for new data sources
- Perform data profiling and validation
- Develop and optimize complex joins and transformations
- Monitor and improve pipeline reliability
- Collaborate with BI and Tableau teams
Requirements
- Strong background in Snowflake, with focus on data modeling and performance optimization
- Advanced SQL expertise for complex querying and analytics
- Hands-on work with Azure Data Factory to design and orchestrate data pipelines
- Practical knowledge of Azure Blob Storage for data lake and storage solutions
- Proficiency in Python (or similar scripting languages) for automation and data processing
- Solid understanding of ETL / ELT patterns and data warehousing concepts
- CI/CD implementation skills using Azure DevOps or GitHub Actions
Nice to Have
- API-based ingestion
- BI-heavy analytics environments
- Tableau support experience