Preferred Hotels & Resorts
201 - 500 employees
Founded 1968
👥 B2C
🛍️ eCommerce
B2C • eCommerce • Travel
Preferred Hotels & Resorts is a global brand that represents a collection of some of the finest independent luxury hotels and resorts worldwide. The company focuses on providing memorable luxury experiences through exceptional service, unique accommodations, and high-quality amenities that cater to personalized guest preferences. With properties located in prime destinations across the globe, Preferred Hotels & Resorts emphasizes individuality and local culture while ensuring a high standard of hospitality.
Data Engineer III
Job not on LinkedIn
🕒 March 4
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Preferred Hotels & Resorts
201 - 500 employees
Founded 1968
👥 B2C
🛍️ eCommerce
B2C • eCommerce • Travel
Preferred Hotels & Resorts is a global brand that represents a collection of some of the finest independent luxury hotels and resorts worldwide. The company focuses on providing memorable luxury experiences through exceptional service, unique accommodations, and high-quality amenities that cater to personalized guest preferences. With properties located in prime destinations across the globe, Preferred Hotels & Resorts emphasizes individuality and local culture while ensuring a high standard of hospitality.
📋 Description
• Design, build, and maintain scalable data pipelines and ETL workflows. • Write advanced SQL queries and implement optimization techniques for performance. • Leverage Microsoft Azure & Fabric, Spark, and Python to automate complex workflows. • Lead engineering efforts on machine learning and artificial intelligence projects. • Develop and maintain robust web APIs (SOAP, REST) to support seamless data integration. • Monitor and troubleshoot data processes, ensuring high availability and minimal downtime. • Manage and prioritize work using the ticketing system and maintain regular communication. • Provide tier 3 support to end users of integrated systems. • Mentor other team members by sharing knowledge and conducting training sessions.
🎯 Requirements
• Bachelor’s degree in Computer Science, Information Systems /other relevant degree or equivalent professional experience. • Expert knowledge of relevant languages, such as SQL, dbt, Python, and/or C# • Expert knowledge of at least one data pipeline orchestration tool, such as Azure Data Factory • Expert understanding of data modeling and ETL concepts. • Experience with version control systems (e.g., Git) and best practices. • Strong problem-solving skills and the ability to work independently on complex tasks.
🏖️ Benefits
• All technology required will be provided
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