Royal Caribbean Group
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Engineer, Data Solutions
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.
Royal Caribbean Group’s
Data Solutions Engineering
Team has an exciting career opportunity for a full time
Data Engineer
reporting to the
Senior Manager, Data Solutions Engineering . This role is located in Miramar, CA.
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 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.
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
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 designing, building, and managing data pipelines that require data transformation as well as metadata and workload management
Working knowledge and experience with large, heterogeneous datasets, expanding data pipelines, and integrated datasets using traditional and new data integration technologies (ETL, ELT, data replication, change data capture, message‑oriented data movement, API design, stream data integration and data virtualization)
Experience performing root cause analysis on internal and external data and processes to identify issues and opportunities for improvement
Experience supporting and working with cross‑functional teams in a dynamic environment
Demonstrate analytical and problem‑solving skills
Curiosity in understanding data for specific area of responsibility
Knowledge and Skills
Ability to read and write SQL, PL/SQL, and/or T‑SQL
2+ years of experience with scripting languages, such as Python, R, Java, Scala, etc.
Knowledge of data storage concepts, such as databases, data warehouses, and data lakes
Relational SQL databases (Oracle, SQL Server); NoSQL databases are a plus
Proven ability to collaborate with technical peers
Capable of working independently and as part of a team
Experience with continuous integration and continuous deployment practices
Agile methodology experience
We guarantee equal employment opportunity. Royal Caribbean Group prohibits discrimination or harassment.
#J-18808-Ljbffr
Engineer, Data Solutions
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.
Royal Caribbean Group’s
Data Solutions Engineering
Team has an exciting career opportunity for a full time
Data Engineer
reporting to the
Senior Manager, Data Solutions Engineering . This role is located in Miramar, CA.
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 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.
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
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 designing, building, and managing data pipelines that require data transformation as well as metadata and workload management
Working knowledge and experience with large, heterogeneous datasets, expanding data pipelines, and integrated datasets using traditional and new data integration technologies (ETL, ELT, data replication, change data capture, message‑oriented data movement, API design, stream data integration and data virtualization)
Experience performing root cause analysis on internal and external data and processes to identify issues and opportunities for improvement
Experience supporting and working with cross‑functional teams in a dynamic environment
Demonstrate analytical and problem‑solving skills
Curiosity in understanding data for specific area of responsibility
Knowledge and Skills
Ability to read and write SQL, PL/SQL, and/or T‑SQL
2+ years of experience with scripting languages, such as Python, R, Java, Scala, etc.
Knowledge of data storage concepts, such as databases, data warehouses, and data lakes
Relational SQL databases (Oracle, SQL Server); NoSQL databases are a plus
Proven ability to collaborate with technical peers
Capable of working independently and as part of a team
Experience with continuous integration and continuous deployment practices
Agile methodology experience
We guarantee equal employment opportunity. Royal Caribbean Group prohibits discrimination or harassment.
#J-18808-Ljbffr