Engineer, Data

at  Royal Caribbean Group

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

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 role3+ years of experience with Python SQL
• and Command Line Interfaces3+ 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 managementExperienced 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 frameworksExpert level knowledge with programming languages including Python SQL

Conduct requirements gathering

• data mapping and designingCreate build
• and maintain complex data pipelines from disparate sources that meet functional / non-functional business requirementsCreate maintain and refine existing ETL/ELT processes
• employing a variety of data integration and data preparation toolsDevelop event-based real-time
• and micro-batch data pipelines
• Design and implement high-frequency data science model results for operational purposesMentor engineers in finding optimal and efficient solutions for designing preparing and storing data for analytical and operational use casesIdentify design and implement internal process improvements: automating manual processes optimizing data delivery re-designing pipelines for greater scalability
• etcWork with stakeholders including Product
• Data and Business teams to assist with data-related technical issues and support their data needsCreate 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 edgeWrite 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 processesWork with data and analytics experts to strive for greater functionality in data systemsPosition requires on-call and off-hours suppor

Create and maintain technical design documentation

Conduct requirements gathering

• data mapping and designingCreate build
• and maintain complex data pipelines from disparate sources that meet functional / non-functional business requirementsCreate maintain and refine existing ETL/ELT processes
• employing a variety of data integration and data preparation toolsDevelop event-based real-time
• and micro-batch data pipelines
• Design and implement high-frequency data science model results for operational purposesMentor engineers in finding optimal and efficient solutions for designing preparing and storing data for analytical and operational use casesIdentify design and implement internal process improvements: automating manual processes optimizing data delivery re-designing pipelines for greater scalability
• etcWork with stakeholders including Product
• Data and Business teams to assist with data-related technical issues and support their data needsCreate 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 edgeWrite 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 processesWork with data and analytics experts to strive for greater functionality in data systemsPosition requires on-call and off-hours support