Manhattan Beach, CA, United States
February 7, 2024
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Company Description
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.
Job Description
Are you excited about high performance data implementation? Then great! The Skechers USA Data Engineering team is growing, and we need a Data Engineering Intern who is thorough and agile, willing to learn and adapt and capable of breaking down and solving problems. In the Data Engineering team, you will work on real-world problems working on OnPrem or multi cloud tech stack where reliability, accuracy and speed are paramount, take responsibility for your systems end-to-end and influence the direction of our technology that impacts customers around the world.
We are looking for a Data Engineer Intern with an understanding of structured/semi structured/Complex data processing and streaming frameworks; RDBMS and NoSQL data stores. 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.
Job Role
To excel in this role, you must be able to perform each essential duty satisfactorily. The skills, abilities, and physical demands described are representative of the duties required to perform the job successfully. 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 a long period of time.
All your information will be kept confidential according to EEO guidelines.
Pay range for this position is $25/ hour.
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.
Job Description
Are you excited about high performance data implementation? Then great! The Skechers USA Data Engineering team is growing, and we need a Data Engineering Intern who is thorough and agile, willing to learn and adapt and capable of breaking down and solving problems. In the Data Engineering team, you will work on real-world problems working on OnPrem or multi cloud tech stack where reliability, accuracy and speed are paramount, take responsibility for your systems end-to-end and influence the direction of our technology that impacts customers around the world.
We are looking for a Data Engineer Intern with an understanding of structured/semi structured/Complex data processing and streaming frameworks; RDBMS and NoSQL data stores. 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.
Job Role
- 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.
- Team collaboration by building existing knowledge base in Confluence and creating LucidChart flows.
- 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
- Pursuing a bachelor's degree in computer science or related field
- Understanding of data stores with experience in working with SQL, script languages (Python, shell etc.)
- Understanding of Cloud technologies AWS, Azure, or GCP
- Writing tech specs and documentation
- Understanding Linux KSH/bash scripting
- Understanding of how an ETL/ELT works.
- Experience in Python, Java, or Scala similar programming languages
- Overall excitement in learning new technologies in the data ecosystem
To excel in this role, you must be able to perform each essential duty satisfactorily. The skills, abilities, and physical demands described are representative of the duties required to perform the job successfully. 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 a long period of time.
All your information will be kept confidential according to EEO guidelines.
Pay range for this position is $25/ hour.
