Data Engineer III

Preferred Hotels & Resorts is committed to nurturing independence and celebrating individuality in the hospitality industry. They are seeking an analytical and experienced Data Engineer III responsible for developing and optimizing data pipelines, integrations, and reporting solutions to ensure efficient data operations.

Responsibilities:

• 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 across internal and external systems
• Collaborate with external vendors to ensure the integrity and functionality of integrations
• Monitor and troubleshoot data processes, ensuring high availability and minimal downtime
• Proactively identify and resolve bottlenecks or inefficiencies in data pipelines and integrations
• Manage and prioritize work using the ticketing system while maintaining regular communication in stand-ups and stakeholder meetings
• Conduct code reviews to ensure adherence to best practices and high-quality deliverables
• Contribute to technical documentation for processes, tools, and workflows
• Provide tier 3 support to end users of integrated systems such as reporting and accounting
• Partner with business owners to identify areas for improvement and gather requirements
• Mentor other team members by sharing knowledge, conducting training sessions, and providing guidance on best practices
• Take ownership of complex projects, ensuring timely delivery and alignment with business objectives

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