Journey with us! Combine your career goals and sense of adventure by joining our exciting team of employees Royal Caribbean Group is pleased to offer a competitive compensation and benefits package and excellent career development opportunities each offering unique ways to explore the world

The Royal Caribbean Group’s Data Analytics and AI Team has an exciting career opportunity for a full time Data Solutions Engineer reporting to the Senior Manager Data Solutions Engineering

This position will work on-site in Miami Florida

Position Summary

The primary focus of this role will be to support the internal organization in implementing and delivering strategies and results You will be 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 data analysts and data scientists In this role you will focus on building and enhancing our Revenue Management Automation (RMA) and Revenue 360 data assets You will 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 You will also mentor junior engineers in finding optimal and efficient solutions for designing preparing and storing data for analytical and operational use cases

Essential Duties and Responsibilities

Create and maintain technical design documentation

Conduct requirements gathering
data mapping and designing Create build
and maintain complex data pipelines from disparate sources that meet functional / non-functional business requirements Create maintain and refine existing ETL/ELT processes
employing a variety of data integration and data preparation tools Develop event-based real-time
and micro-batch data pipelines
Design and implement high-frequency data science model results for operational purposes Mentor engineers in finding optimal and efficient solutions for designing preparing and storing data for analytical and operational use cases 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: (1) operational reports key performance indicators/metrics or other insights into current organizational activities
(2) 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 complex queries involving multiple tables or databases across platform(s)
Collaborate with the Enterprise Architecture team to ensure alignment on data standards and processes 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 Data Science

Analytics or equivalent
3+ years of experience in a data engineering or related role 3+ years of experience with Python SQL
and Command Line Interfaces 3+ years of experience with streaming technologies (Kafka Pubsub Kinesis) and log-based architectures and experience writing batch and stream processing jobs (ie Apache Beam Google Cloud DataFlow Apache Spark
Apache Storm)
3+ years of experience working and creating datasets for a data warehouse
Clear understanding of data modeling patterns
3+ years of experience with ETL/ELT development tools (Azure Data Factory (ADF) preferred) 3+ years of experience with code version control using tools such as Git
and experience with Agile tools (Jira or Azure DevOps preferred)
3+ years of cloud experience (Azure preferred) Experienced in using best practices in designing
building and managing data pipelines that require data transformations as well as metadata and workload management Experienced 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)
Experienced with implementing data quality frameworks Expert level knowledge with programming languages including Python SQL
CLI
Expert level knowledge with relational SQL databases such as Oracle and SQL Server
Experience with ERP systems are a plus
Experience with NoSQL databases are a plus
Knowledge of the hospitality industry is a plus Experience supporting and working with cross-functional teams in a dynamic environment Proven ability to collaborate with technical peers
Capable of working independently as well as part of a team
Strive to provide orientation and direction to junior engineers requiring their expertise
Experienced with continuous integration and continuous deployment practices
Ability to approach complex problems with creativity and display analytical and problem-solving skills
Display curiosity in understanding the data for the specific area of responsibility

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

#LI-AS2

Nearest Major Market: Miami

Royal Caribbean Group

New Jobs

Engineer, Data