Headquartered in Southern California, Skechers has spent 30 years helping men, women and kids everywhere look and feel good. Developing comfort technologies is at the foundation of all that we do—delivering stylish, innovative, and quality products at a reasonable price. From our diverse footwear offering to a growing range of apparel and accessories, Skechers is a complete lifestyle brand.

With international business representing over half of our total sales, we have product available in more than 180 countries and significant opportunities for continued expansion worldwide. We sell our collections direct to consumers through more than 4,450 Skechers stores around the globe and Skechers e-commerce sites, as well as through a network of third-party partners.

A MULTI-BILLION-DOLLAR GLOBAL LEADER IN THE FOOTWEAR INDUSTRY.

We are looking for an Intern Data Architect with an understanding of data warehousing, data modeling, and data engineering concepts; Good understanding of RDBMS and NoSQL data stores too. As a member of our Data Services team you will be mentored by peers who are responsible for continuing organizational expansion of our data processing projects. 

ESSENTIAL JOB RESULTS-

The successful candidate will be both self-motivated and collaborative as is necessary to operate in the realm of enterprise technology projects, interacting with team members and vendors to resolve issues quickly.

• Collaborate by building existing knowledge base in Confluence and creating LucidChart flows
• Understand the business process flow and data flow across systems
• Design the end to end data flow for the data engineering pipelines by thinking broad and high level.
• Understand the data warehousing and data modeling concepts so to build the appropriate data models for data analytics and data consumption.
• Get involved in the development of ETL/ELT to deliver data for reporting, troubleshoot and resolve production data integrity and performance issues
• Develop SQL scripts work with script languages (Python, shell etc.) to wrap applications execution
• Support various Data Platform Applications and Data Warehouse Applications

JOB REQUIREMENTS-

• Basic understanding of data modeling, data warehousing, data analytics (reporting and dashboarding), and data engineering (ETL/ELT pipelines) concepts
• Basic understanding of data stores with some experience in working with SQL and elementary knowledge in script languages (Python, shell etc.) is a plus
• Basic understanding of Cloud technologies AWS, Azure, or GCP
• Write technology specs and documentation
• Conceptual understanding of how an ETL/ELT works
• Overall excitement in learning new technologies in the data ecosystem

EDUCATION AND EXPERIENCE-

• On track for a Bachelor of Science in Computer Science or equivalent experience.

All your information will be kept confidential according to EEO guidelines.

QUALIFICATIONS-

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily.  The skills, abilities and physical demands described are representative of those duties that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities, who are otherwise qualified for the job position, to perform the essential functions.

PHYSICAL DEMANDS-

While performing the duties of this job, the employee is regularly required to stand; use hands to finger, handle, or feel, and talk or hear.  The employee frequently is required to walk; sit, reach with hands and arms, and stoop, kneel. The employee is occasionally required to sit for long period of times.  

Pay for this position is $25.00/hour.