YETI
Sr. Data Engineer
Austin, Texas · Senior · Full-time
Sponsorship not specifiedDetected 30 days ago
PythonJavaNode.jsAlgorithmsSQLBigQueryDatabricksGCPAzureDockerTerraformCI/CDMachine LearningSparkAirflowData EngineeringSalesforceSAPProblem Solving
About the role
- This role is critical to enabling modern analytics, advanced reporting, and data-driven decision-making across the enterprise.
- This position offers an extremely rare and unique opportunity to join a highly profitable, fast-growing business.
- This role requires a blend of skills typically found in the specialized roles of Data Modeler, Data Architecture, Data Analyst, and Administration of Data tools.
Responsibilities
- Design and build scalable ELT/ETL pipelines using Google Stored Procedures in BigQuery, Databricks, Spark, Airflow/Google Composer and Google Dataflow
- Lead development of analytical data models using Databricks and Google BigQuery
- Optimize data performance of Google Vertex AI engineering and ML pipelines
- Partner with business and analytics teams to translate requirements into technical solutions
- Perform data profiling and analysis to assess data quality patterns, recommend data cleansing rules, conforming data standard rules and matching algorithms
- Build Data pipelines for SAP and non-SAP data sources to load into BigQuery
- Own the data infrastructure of our existing Google BigQuery Data warehouse and other related GCP services
Requirements
- Bachelor's degree in computer science or related discipline
- At least 8 years of experience in data engineering primarily in Google BigQuery and intermediate skills in Databricks.
- Extensive experience with Python programming
- Hands-on experience in GCP BigQuery, Google Airflow, Dataflow and Databricks.
- Must have a good understanding of Dimensional Modeling and ER-Modeling
- Candidates should demonstrate openness to adopting unfamiliar tools and acquiring proficiency in new programming languages.
- Experience in extracting data from SAP HANA and Salesforce tools
- Experience with Java and NodeJS
- Expert in writing, analyzing and tuning complex SQL queries
- Strong problem-solving ability and a positive attitude
- Applicants must be currently authorized to work in the United States on a full-time basis without the need for employer sponsorship.
Nice to have
- Experience/Knowledge of SAP Datasphere is a huge plus.
- Terraform, Docker, and CI/CD experience preferred
Benefits
- Click here to learn about the benefits and perks we offer at YETI.
Company info
- Work with business customers and data analysts to define detailed requirements from broader business challenges
- Our commitment to creating a diverse, equitable, and inclusive culture is at the center of everything we do for our employees.
- We embrace all applicants looking to bring their authentic selves to YETI and contribute to our mission of keeping the wild WILD.
Equal opportunity
- Equal Opportunity Employer.
- If you require accommodation in order to apply for a job, please contact us at accommodationrequest@yeti.com.
Visa & Work Authorization
- Applicants must be currently authorized to work in the United States on a full-time basis without the need for employer sponsorship.
This listing is sourced directly from YETI's careers page and normalized into a canonical job model.