Cloud Data Engineer

Norwegian Cruise Line; Miami (FL); On-site; USD 90,000 - 120,000; Full time

Job summary

Norwegian Cruise Line in Miami is seeking a Cloud Data Engineer to design and implement data pipelines, ensuring high data quality and security in cloud environments. The ideal candidate will have at least 4 years of experience in data engineering, be proficient in Python and SQL, and familiar with ETL tools like Fivetran and Snowflake. This role offers opportunities to innovate and contribute to data warehousing solutions while collaborating with cross-functional teams.

Qualifications

• Minimum of 4 years’ experience developing data systems or cloud-based solutions.
• Experience in data engineering with a focus on data warehousing.
• Proficiency in scripting languages like Python and PowerShell.

Responsibilities

• Design and implement data pipelines for cloud-based data warehouses.
• Develop and maintain ETL processes using various tools.
• Collaborate with analysts to ensure data quality and availability.
• Automate data processing tasks using scripting languages.

Skills

Data engineering

Python

SQL

Data warehousing

ETL tools (Fivetran, Matillion)

AWS

Agile methodologies

Education

Bachelor's Degree in Computer Science, Engineering or related field

Tools

AWS

Jira

Confluence

SSIS

SSAS

SSRS

Snowflake

Linux

Microsoft SQL Server

Job description

Cloud Data Engineer page is loaded## Cloud Data Engineerlocations: Miami, Floridatime type: Full timeposted on: Posted Yesterdayjob requisition id: JR01423**GROW YOUR CAREER WITH US** At Norwegian Cruise Line Holdings (NCLH), we know our future success depends on our ability to attract and retain the very best talent. Our brands deliver vacations of a lifetime with innovative product offerings, a high level of service and unique guest experiences aboard each vessel and we’re continually seeking applicants who are passionate about hospitality and committed to being their personal best. As you learn more about our company, we think you will agree that there is no better time than now to become a member of the NCLH family! **APPLY ONLINE** If you’re interested to be considered for this position, please click the blue APPLY button at the top of the page to get started. All candidates must complete an on-line application to be considered.**JOB SUMMARY**Responsible for designing and implementing robust data pipelines. Must maintain high data quality and security in cloud environments, automating tasks with Python and Bash scripting, and continuously research new technologies to enhance scalability. This role focuses on the development and implementation of data engineering solutions that enhance data warehousing capabilities and maintain legacy and new systems.**DUTIES & RESPONSIBILITIES*** Design and implement data pipelines to move and transform data from various sources into cloud-based data warehouses.* Develop and maintain ETL processes using tools such as Fivetran, Matillion, SSIS, SSAS, SSRS and Snowflake Dataflow on AWS.* Optimize data storage and retrieval by designing and implementing data partitioning, indexing, and compression strategies.* Build and maintain data processing infrastructure on cloud platforms such as AWS.* Collaborate with business and analysts to ensure data quality, accuracy, and availability for analysis and reporting.* Manage and lead Complex System Design, Integration and Development.* Monitor and troubleshoot data pipelines and infrastructure to ensure high availability and performance.* Implement security and access controls to protect sensitive data in cloud-based environments.* Automate data processing tasks using scripting languages such as Python or Bash* Research and evaluate new technologies and tools to improve data processing efficiency and scalability.* Mentor and train junior data engineers and provide technical guidance to cross-functional teams.* Perform other job-related functions as assigned.**QUALIFICATIONS****DEGREE TYPE:**Bachelor's Degree**FIELD(S) OF STUDY:**Computer Science, Engineering or related field**EXPERIENCE*** Minimum of 4 years’ experience developing, validating, and implementing data warehouses, data systems or cloud-based data solutions.* Experience in data engineering with a focus on data warehousing and legacy systems.* Experience with multiple data modeling approaches, SQL, and scripting programming languages like Python and PowerShell.**COMPETENCIES/SKILLS*** Good understanding of OLAP Cubes, Dimensional model.* Ability to lead and coach team members.* Strong communication skills and stakeholder engagement abilities; driving results through innovation, process improvement and creativity.* Able to prioritize and execute tasks in a high-pressure, fast-paced environment.* Demonstrated understanding of agile methodologies, QA practices and user experience, with strong digital & technical skills.* Experienced with collaboration tools (Jira, Confluence, Lucid Chart;).* Strong understanding of databases such as Microsoft SQL Server, Oracle, MySQL, HANA, Snowflake.* Experience with traditional on-prem virtual and physical infrastructure, as well as cloud-based environments, preferably AWS.* Excellent understanding of Windows, and Linux based infrastructure.* Working knowledge of various tools, open-source technologies, and cloud services**ABOUT NCLH** Norwegian Cruise Line Holdings Ltd. (NYSE: NCLH) is a leading global cruise company which operates the Norwegian Cruise Line(R), Oceania Cruises(R) and Regent Seven Seas Cruises(R) brands. The combined brands currently operate 32 ships, employ over 35,000 shipboard crew from more than 110 different countries and visit approximately 700 different port destination each year. **LEARN MORE ABOUT OUR COMPANY:** **EQUAL OPPORTUNITY EMPLOYER** It is Norwegian Cruise Line Holding’s policy not to discriminate against any employee or applicant for employment because of race, color, religion, sex, national origin, age, disability, and marital or veteran status.The above statements are intended to describe the general nature and level of work being performed by people assigned to this classification. They are not to be construed as an exhaustive list of all responsibilities, duties, and skills required of personnel so classified. All personnel may be required to perform duties outside of their normal responsibilities from time to time, as needed.