Sr. Data Engineer
About The Position
The Senior Data Engineer will be part of a team that designs, builds, and operates YETI’s enterprise data platform with a strong emphasis on Azure Databricks and Google BigQuery. 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. Additionally, having experience in agile development, and how to balance the need to maintain operations versus the need to build things the right way is an absolute must.
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.
- Expert in writing, analyzing and tuning complex SQL queries
- 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.
- Strong problem-solving ability and a positive attitude
- Experience in extracting data from SAP HANA and Salesforce tools
Nice To Haves
- Experience/Knowledge of SAP Datasphere is a huge plus.
- Experience with Java and NodeJS
- Terraform, Docker, and CI/CD experience preferred
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
- 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
- Integrate SAP data sources including SAP HANA and S/4HANA
- Optimize data performance of Google Vertex AI engineering and ML pipelines
- Partner with business and analytics teams to translate requirements into technical solutions
- Enforce data quality, reliability, and governance best practices
- 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
- Assist ETL and BI developers with complex query tuning and schema refinement
Benefits
- Click here to learn about the benefits and perks we offer at YETI.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
