Senior Data Engineer
YETI Coolers, LLC

At YETI, we believe that time spent outdoors matters more than ever and our gear can make that time extraordinary. When you work here, you'll have the opportunity to create exceptional, meaningful work and problem solve with innovative team members by your side. Together, you'll help our customers get the high-quality gear they need to make the most of their adventures. We are BUILT FOR THE WILD™.

The Senior Data Engineer will be part of a team that designs and develops YETI's enterprise Data Warehouse and Analytic systems. This position offers an extremely rare and unique opportunity to join a highly profitable, fast-growing business.

Our needs are diverse and it is certain that we will build and deploy software on various platforms including but not limited to Google Big Query and Tableau. While this position specifically seeks a Senior Developer, who will focus on implementing solutions in Google Could Environment, Google Dataflow, and Composer (Airflow), we strongly prefer candidates with a diversity of experience capable of working across more than one area.

This role requires a blend of skills typically found in the specialized roles of Business Analyst, Data Modeler, Data Analyst, and Could Administration. Additionally, an understanding of dynamic environments, agile development, and how to balance the need to maintain operations versus the need to build things the right way is an absolute must.

Position Type (See Workplace Approach Below): Hybrid

Responsibilities:

• Work with business customers and data analysts to define detailed requirements from broader business challenges
• Translate those requirements to logical and physical models that satisfy analytical needs
• Perform data profiling and analysis to assess data quality patterns, recommend data cleansing rules, conforming data standard rules and matching algorithms
• Own the system architecture and infrastructure of our Google Could Data warehouse and other related GCP services
• Assist ETL and BI developers with complex query tuning and schema refinement

Qualifications and Attributes:

• Bachelor's degree in Computer Science or related discipline
• At least 6 years' experience in the development of data warehouse, decision support, or executive information systems.
• Expert in writing, analyzing and tuning complex SQL queries
• Extensive experience with Python programming
• Hands-on experience in any Cloud environment preferably GCP
• Good understanding of Object-Oriented programming
• Must have a good understanding of Dimensional Modeling and ER-Modeling
• Experience with data pipeline and workflow management tools: Airflow, Dataflow, etc.
• Willing to work with new tools and learn new programming languages
• Strong problem-solving ability and a positive attitude
• Experience with SAP HANA, Salesforce tools
• Experience with Java and NodeJS
• Google Cloud Professional Certification preferred or AWS certification
• Cloud Infrastructure using Terraform scripting
• Experience with containerization, including Docker and Kubernetes

US Workplace Approach:

• Onsite: Role requires you to be onsite full-time.
• Hybrid: Role requires you to be located in Austin, Texas and is a mixture of onsite and remote.
• Remote: Role is full-time remote.

Approach may vary based on role.

YETI is proud to be an Equal Opportunity Employer.

#LI-CB1 #LI-Hybrid

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