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Royal Caribbean Group’s Data Analytics and AI Team has an exciting career opportunity for a full time Lead Data Solutions Engineer reporting to the Senior Manager Data Solutions Engineering

POSITION SUMMARY:

The Lead Data Solutions Engineer is responsible for leading the delivery managing and operationalizing data solutions pipelines in support of data and analytics use cases using appropriate methodologies technologies including extract transform and load of data The Lead Data Solutions Engineer is also responsible for recommending innovative and modern tools techniques and architectures to automate the most-common repeatable and tedious data preparation and integration tasks in order to minimize manual and error-prone processes and improve productivity The Lead Data Solutions Engineer develops and improves standards and procedures to support quality development testing and production support The role is expected to drive/lead the delivery of one or more data solution components/products from project inception through its delivery in close collaboration with cross-team members which includes functional and technical resources

QUALIFICATIONS:

Bachelor or Master of Science in Engineering Computer Science

• Information Technology or equivalent
• 8+ years of experience in Data Warehouse design and data modeling patterns (relational and dimensional)
• 8+ years of experience with ETL tool development such as Informatica or Talend or ADF
• Must have strong analytical skills for effective problem solvingAbility to work independently
• handle multiple tasks simultaneously and adapt quickly to change with a variety of people and work styles
• Must be capable of fully articulating concisely technical concepts to non-technical audiencesExperience cloud-based data warehousing and data lake solutions like Databricks
• Redshift or Snowflake
• Strategic thinker able to provide recommendations utilizing traditional and modern architectural components based on business needs

KNOWLEDGE AND SKILLS:

Extensive ability to design build and manage data pipelines for data structures encompassing data transformation data models schemas

• metadata and workload managementExpertise in data warehousing ETL/ELT processes data modeling and programming languages like SQL PL/SQL Python
• and Java

Experience with cloud platforms like Azure AWS or GCP

• and related servicesExperience with data engineering tools like Kafka Spark
• DataBricks and HadoopExtensive experience in one of the following tools: Informatica
• ADF or Talend
• Strong analytical abilities to identify and resolve data-related issuesExtensive experience with database technologies: Oracle MSSQL
• Hadoop and NoSQLExtensive experience with various Data Management architectures like Data Warehouse Data Lake and the supporting processes like Data Integration Governance
• Metadata ManagementExtensive experience in working with large heterogeneous datasets in building and optimizing data pipelines pipeline architectures and integrated datasets using traditional data integration technologies These should include [ETL/ELT data replication/CDC message-oriented data movement] and data ingestion and integration technologies such as stream data integration
• and data virtualization
• Extensive experience in working with and optimizing existing ETL processes and data integration and data preparation flows and helping to move them in productionExtensive experience writing and optimizing advanced SQL queries in a business environment with large-scale
• complex datasetsExperience with one or more DevOps tools (git Jenkins CI/CD
• Jira)Experience developing reference architecture
• principles and standards
• Strong knowledge of relational and dimensional data modeling patterns

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 promotion opportunity to qualified candidates without discrimination or harassment on the basis of race color religion sex age national origin disability sexual orientation sexuality gender identity or expression marital status or any other characteristic protected by law Royal Caribbean Group and each of its subsidiaries prohibit and will not tolerate discrimination or harassment

LI-MP1

Nearest Major Market: Miam

ESSENTIAL DUTIES AND RESPONSIBILITIES:

Leads data engineering development projects which include the design of complex flexible durable reusable and scalable data pipelines and frameworks to automate the ingestion

• processing and delivery of both structured and unstructured batch and real-time streaming data employing a variety of data integration and data preparation tools for on premises and cloud for different business scenariosCollaborate team with other areas such as business stakeholders data scientists to ensure that all solutions are complete operable conform to business processes
• and meet the business needs with the agreed quality of service
• Lead technical decisions and ensure data quality and efficiency
• Create and maintain technical design documentationEnsure the end-to-end solution is fit for purpose meet the needs of business the agreed requirements
• and are both pragmatic and supportive of the strategic architecture direction
• Evaluates ETL/ELT best practices within the industry to learn principles and applications and drive development adoptionLead and mentor teams communicate technical concepts effectively
• and collaborate with diverse teams
• Evaluates the effectiveness of data integration tools and assist in platform discussions and decisions
• Leads data analysis required to troubleshoot data related issues and assist in the resolution of data issues
• Anticipates any obstacles and makes plans accordingly to ensure that stakeholder requirements are fully reflected in data architecture outcomesMonitors data architecture design processes (eg interface to data)
• in accordance with existing processes and standards