Data Engineer

Join to apply for the Data Engineer role at Royal Caribbean Group
.

Journey with us! Combine your career goals and sense of adventure by joining our incredible team of employees at Royal Caribbean Group
. We are proud to offer a competitive compensation and benefits package, and excellent career development opportunities, each offering unique ways to explore the world. We are proud to be the vacation-industry leader with global brands — including Royal Caribbean International, Celebrity Cruises and Silversea Cruises — the most innovative fleet and private destinations, and the best people. Together, we are dedicated to turning the vacation of a lifetime into a lifetime of vacations for our guests.

Royal Caribbean Group’s Enterprise Data Team has an exciting career opportunity for a full time Data Engineer reporting to the Senior Manager, Data Solutions Engineering
.

The primary focus of this role will be to support internal organizations in implementing and delivering their strategy and results. The Data Solutions Engineer is responsible for building, managing, and optimizing reusable enterprise data pipelines effectively and in a timely manner through the development lifecycle to be used by internal consumers, such as business/data analysts and data scientists. The engineer would use both technical and analytical skills to understand and solve business problems using available resources and current technology stack, while ensuring data governance and data security compliance.

• Create, build, and maintain data pipelines from disparate sources that meet functional / non-functional business requirements
• Create, maintain and reuse existing ETL processes, employing a variety of data integration and data preparation tools
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing pipelines for greater scalability, etc.
• Work with stakeholders including Product, Data and Business teams to assist with data-related technical issues and support their data needs
• Create datasets for operational reports, key performance indicators/metrics, or other insights into current organizational activities
• Create datasets for analytics and data science to provide the ability to uncover the answers to major questions that help organizations make objective decisions and/or gain a competitive edge
• Write, debug and implement moderately complex queries involving multiple tables or databases across platform(s)
• Create and maintain technical design documentation
• Participate in requirements gathering
• Collaborate with the Enterprise Architecture team to ensure alignment on data standards and processes
• Highly analytical and interested in data visualization
• Work with data and analytics experts to strive for greater functionality in data systems
• Position requires on-call and off-hours support

Minimum level of education and experience required to perform this job:

• Bachelor of Science in Computer Science, Information Technology or equivalent
• 3+ years of experience in a data/cloud engineering role
• 3+ years of experience working and creating datasets for a data warehouse
• Clear understanding of data modeling patterns (relational and dimensional)
• 3+ years of experience with ETL development tools, Informatica, Databricks or Azure Data Factory (ADF) preferred
• 3+ years of cloud experience, Azure preferred
• Working knowledge and experience in using best practices in designing, building, and managing data pipelines that require data transformations as well as metadata and workload management
• Working knowledge and experience in working with large, heterogeneous datasets in building and optimizing data pipelines, pipeline architectures and integrated datasets using traditional and new data integration technologies (such as ETL, ELT, data replication, change data captures, message-oriented data movement, API design, stream data integration and data virtualization)
• Working knowledge and experience in performing root cause analysis on internal and external data and processes to identify issues and opportunities for improvement
• E…