Senior Data Engineer

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

Senior Data Engineer

reporting to the Senior Manager, 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 Senior Data 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. This role will focus on Consumer Product Engineering which is essential to our eCommerce initiatives which concentrates in two areas: building a state-of-the-art CDP for collecting, unifying, and connecting customer data with applications. Second, building products and capabilities such as: personalization, segmentation, data privacy management that allow partners to easily integrate with CDP and help them use customer data to build remarkable solutions. The Senior 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. They will 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.
Lead 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 reuse existing ETL/ELT processes, employing a variety of data integration and data preparation tools.
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:

Bachelor of Science in Computer Science, Information Technology or equivalent
5+ years of experience in a data/cloud engineering role
5+ years of experience working and creating datasets for a data warehouse.
Clear understanding of data modeling patterns (relational and dimensional)
5+ years of experience with ETL development tools, Informatica or Azure Data Factory (ADF) preferred.
3+ years of cloud experience, Azure preferred.
Knowledge and Skills:

Experienced in using best practices in designing, building and managing data pipelines that require data transformations as well as metadata and workload management.
Develops and implements on MarTech and CDP data and integration product/service strategies and plans.
Experience 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)
Manages and develops data processing and assigns customers to marketing segments in the CDP; using demographic data, behavioral data, and intent signals and works with data scientists to incorporate machine learning outcomes into the overall customer segmentation model.
Experience with streaming technologies (Kafka, Pubsub, Kinesis) and log-based architectures and experience writing batch and stream processing jobs (i.e. Apache Beam, Google Cloud DataFlow, Apache Spark, Apache Storm)
Experience in performing root cause analysis on internal and external data and processes to identify issues and opportunities for improvement
Expert level knowledge with programming languages including SQL, PL/SQL, T-SQL
Expert level knowledge with technologies such as Databricks Lakehouse, Oracle, Hadoop, MSSQL
Expert level knowledge with a scripting language: Python, Java, Scala, etc.
Experience with NoSQL databases are 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.
Knowledge and experience working with agile methodologies and tools (such as Jira) a plus.
Physical Demands:

The physical demands described here are representative of those requirements employees must meet to perform the essential functions of this job with or without reasonable accommodations. While performing job functions the employee is regularly required to sit, stand, write, review and type reports, compile data, operate a pc, communicate, listen, and assess information. The employee may move about the office complex, may travel to other office locations and may lift, push, pull or move 10 - 15 pounds. Visual requirements include distant, close and color vision, and ability to adjust focus.
Work Environment:

The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of the job. The environment includes work inside/outside the office.

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 p.