Data Engineer, Database

Description

Summary: Seeking a Data Engineer to optimize data ingestion, structuring, and accessibility, delivering reliable, high-quality data for strategic decision-making in a global luxury travel network. Highlights: 1. Support data-driven decision-making with high-quality data 2. Focus on optimizing data ingestion, structuring, and accessibility 3. Collaborate with BI and Tableau teams Client: Our client is a leading global travel agency network specializing in luxury and experiential journeys. The organization partners with a broad network of agencies, advisors, and industry providers worldwide to deliver exceptional travel experiences and exclusive offerings. As part of its continued growth, the organization is investing in modernizing its data and analytics capabilities to enable scalable, high\-quality insights that support business performance, operational efficiency, and strategic decision\-making across the enterprise. Position overview: 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