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 Data Analytics and AI Team has an exciting career opportunity for a full time Data Engineer reporting to the Director, Data Solutions Engineering. 

 

This position will work on-site in Miramar, Florida. 

 

 

Position Summary 

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 my 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. 

 

Essential Duties and Responsibilities 

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   

 

Qualifications, Knowledge and Skills 

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 

3+ years of experience with ETL development tools (Informatica or Azure Data Factory preferred) 

3+ years of cloud experience, Azure preferred 

Experience supporting and working with cross-functional teams in a dynamic environment 

Ability to read and write SQL, PL/SQL, and/or T-SQL 

Hands-on experience with scripting languages, such as Python, R, Java, Scala, etc. 

Clear understanding of data modeling patterns (relational and dimensional) 

Knowledge of data storage concepts, such as databases, data warehouses, and data lakes 

Experience with relational SQL databases, such as Oracle and SQL Server 

Familiarity with NoSQL databases is a plus 

Experience with continuous integration and continuous deployment practices 

Knowledge of Agile methodologies 

Experience designing, building, and managing data pipelines, including transformations, metadata, and workload management 

Experience working with large, heterogeneous datasets and optimizing data pipelines using various data integration technologies (ETL, ELT, data replication, change data captures, API design, stream data integration, data virtualization) 

Problem-solving skills, with the ability to perform root cause analysis on data and processes to identify issues and improvements 

Curiosity in understanding the data for specific areas of responsibility 

Ability to work independently and as part of a team 

Proven collaboration skills with technical peers 

 

We know there's a lot to consider. As you go through the application process, our recruiters will be glad to provide guidance, and more relevant details to answer any additional questions. Thank you again for your interest in Royal Caribbean Group. We'll hope to see you onboard soon! 

 

It is the policy of the Company to ensure equal employment and promotion opportunity to qualified candidates without discrimination or harassment on the basis of race, color, religion, sex, age, national origin, disability, sexual orientation, sexuality, gender identity or expression, marital status, or any other characteristic protected by law. Royal Caribbean Group and each of its subsidiaries prohibit and will not tolerate discrimination or harassment.