Data Engineer III

Preferred Travel Group is a company that values independence and collaboration, aiming to create brighter futures in hospitality. They are seeking a Data Engineer III responsible for developing and optimizing data pipelines, integrations, and reporting solutions while collaborating across teams to deliver impactful data solutions.

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