Join the thousands of innovators, advocates and forces who are making an impact every day at one of the biggest footwear brands in the world. Whether you love to connect with consumers on the retail floor or want to drive our award-winning powerhouse in new directions, the SKECHERS team is the place to be. Learn more about our brand at about.skechers.com 

Are you excited about high performance data implementation? Then great! the Skechers USA Data Engineering team is growing, and we need Data Engineering Interns who are 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 an Intern Data Engineer 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. 

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.
• 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

Job Requirements

• Understanding of NoSQL data stores with experience in working with SQL, script languages (Python, shell etc.) 
• Understanding of AWS managed services for data ingestion, processing with hands on experience working in AWS environment, and have a strong knowledge of S3, Glue and Athena.
• Writing tech specs and documentation
• Linux KSH/bash scripting
• Understanding of how an ETL/ELT toolsets works.
• Experience with any of the following message / file formats: Parquet, Avro 
• Expertise in Python, pySpark or similar programming languages

Education and Expereince

• Bachelor of Science in Computer Science or equivalent experience.
• The preferred candidate will have 2+ years experience as an Engineer

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, stoop, and kneel. The employee is occasionally required to sit for long period of times.  

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