Data Engineer, Database

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