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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
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