Data Engineer

Royal Caribbean Cruises Ltd-posted 4 months ago

Full-time • Mid Level

Miami, FL

5,001-10,000 employees

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Join Royal Caribbean Group's Enterprise Data Team as a full-time Data Engineer, reporting to the Senior Manager, Data Solutions Engineering. This role focuses on supporting internal organizations in implementing and delivering their strategies and results. The Data Solutions Engineer will build, manage, and optimize reusable enterprise data pipelines for internal consumers, such as business/data analysts and data scientists, using both technical and analytical skills to solve business problems while ensuring data governance and security compliance.

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.
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 answers to major questions that help organizations make objective decisions.
Write, debug and implement moderately complex queries involving multiple tables or databases across platforms.
Create and maintain technical design documentation.
Participate in requirements gathering.
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.
Provide on-call and off-hours support.

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 using best practices in designing, building, and managing data pipelines.
Experience with large, heterogeneous datasets in building and optimizing data pipelines.
Experience supporting and working with cross-functional teams in a dynamic environment.
Demonstrate creativity with analytical and problem-solving skills.
Display curiosity in understanding the data for the specific area of responsibility.

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.
Experience with relational SQL databases, such as Oracle and SQL Server.
Familiarity with NoSQL databases.

Competitive compensation and benefits package.
Excellent career development opportunities.

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