Cloud Data Engineer

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 in Computer Science, Engineering, or related field. 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 such as Python and PowerShell. Competencies & Skills Good understanding of OLAP Cubes and Dimensional model. Ability to lead and coach team members. Strong communication skills and stakeholder engagement abilities; driving results through innovation, process improvement and creativity. Ability 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 and technical skills. Experienced with collaboration tools such as Jira, Confluence, and Lucid Chart. Strong understanding of databases such as Microsoft SQL Server, Oracle, MySQL, HANA, and 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. 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. #J-18808-Ljbffr