Data Engineer

Responsibilities

• The Data Engineer will play a critical role in designing, building, and managing the data infrastructure that powers the Digital department’s Analytics functions
• This position is responsible for developing and maintaining robust, scalable, and high-quality data pipelines and solutions
• In this important role, you will help shape the future of data-driven decision-making at Royal Caribbean
• By developing innovative data solutions and collaborating with diverse teams, you will directly contribute to our digital transformation and enhance customer experiences
• This role involves close collaboration with cross-functional teams to translate diverse requirements into actionable data pipelines
• Situated in Miami, Florida, and reporting to the Senior Manager of Digital Data Solutions, this position offers a unique opportunity to make a substantial impact on Royal Caribbean’s digital journey
• Data Pipeline Development: Design, build, and maintain scalable, reliable ETL/ELT pipelines using Databricks, Spark, SQL, and Python to process large volumes of data
• Data Architecture & Modeling: Implement and optimize data models within the Databricks Lakehouse Platform, focusing on creating and managing Delta Tables for performance and reliability
• Technical Expertise: Serve as a subject matter expert on Databricks, Spark, and Delta Lake
• Provide technical guidance on data engineering best practices, including data validation, performance testing, and production readiness
• Process and Workflow Optimization: Support the standardization and automation of data workflows, including requirements gathering, architecture planning, development, quality control, and production deployment
• Data Quality and Governance: Implement robust data quality checks and help ensure data governance standards are consistently met throughout the data lifecycle
• Collaboration: Work closely with data scientists, analysts, and business stakeholders to understand their data needs and deliver high-quality, actionable data solutions
• Documentation and Knowledge Management: Develop and maintain comprehensive documentation for data pipelines, table structures, dependencies, and business logic to ensure clarity and accessibility
• Continuous Improvement and Innovation: Stay current with industry trends and proactively identify and implement enhancements to data processes, tools, and workflows
• Cost Management and Optimization: Monitor and optimize data pipelines and cloud resource usage to ensure cost-effectiveness, implementing strategies to reduce compute and storage costs
• CI/CD and Automation: Develop and maintain CI/CD (Continuous Integration/Continuous Deployment) pipelines for data workflows to improve deployment frequency and reliability
• Security and Compliance: Partner with security teams to implement data encryption, access controls, and data masking techniques to ensure compliance with data privacy regulations

Skills

• Action Oriented
• Collaborates Effectively
• Communicates Effectively
• Drives Results
• Situational Adaptability

Benefits

• 💰 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

Qualifications

• We are seeking a professional with deep, hands-on experience in data engineering
• The ideal candidate will excel at building and optimizing data solutions within the Databricks ecosystem and bridging technical solutions with business objectives
• MBA or MS a bonus
• Minimum of 3-5 years of experience in data solution design, development, and implementation
• Demonstrated expertise in big data technologies, including Azure Data Factory, Databricks, AWS, as well as BI Systems and Adobe Analytics or other log-level data
• Demonstrated ability in advanced performance tuning of Spark jobs and Databricks clusters
• Proficiency in SQL, Python, and Agile (Scrum) methodologies
• Excellent leadership, project management, and communication skills
• Experience mentoring junior data engineers on technical concepts and best practices
• Experience leading technical projects and supervising a team of data developers
• Hands-on experience with data integration, segmentation, and campaign performance analysis
• Familiarity with Agile collaboration tools like JIRA
• Strong organizational and multitasking abilities
• Proven ability to lead technical discussions and provide strategic direction
• Ability to translate business needs into technical solutions
• Demonstrated commitment to staying updated with industry trends and adopting new technologies or methodologies