Overview

Crocs is seeking an experienced Sr Data Engineer to design, implement, and maintain scalable data pipelines, decoupled data infrastructure, dynamic transformations and comprehensive orchestration layer using a combination of Snowflake, PySpark, Airflow, Azure Data Lake, Azure Functions, GitHub, and other tools as needed.

In this role, you will solve unique and complex problems at a rapid pace, utilizing the latest technologies to create solutions that are highly scalable. As part of Enterprise Data Platform team, you will help advance the adoption of data-driven insights and advanced AI analytics across multiple business domains within Crocs enterprise.

What You'll Do

• Data Modeling – Design, implement, and maintain scalable data models that support the Enterprise Data Warehouse (EDW) and analytical workloads following best practices and restrictions imposed by respective technologies.
• ETL/ELT – design and implement efficient, scalable and easy-to-manage data movement processes supporting both batch and near-real-time data streams.
• CI/CD – automate code integration, testing, and deployment using Git to ensure fast, reliable, and consistent delivery of data pipelines and ETL code.
• Engineering Best Practices – Adhere to engineering standard methodologies, including test-driven development, agile management, and continuous integration pipelines.
• Documentation – Create and maintain accurate and complete documentation of the pipelines developed.
• Interest in Learning – Stay ahead of what is happening within the BI and analytics space and demonstrate interest and desire in data science and machine learning.
• Mentoring – Provide coaching and support to data junior engineers.
• Identify and resolve issues related to data processing, data integrity, or performance in a timely manner.
• Implement automation wherever possible to streamline and optimize data engineering workflows.
  

What You'll Bring to the Table

• Bachelor’s degree or equivalent experience in computer science, information technology, engineering, mathematics, or equivalent technical degree.
• 6+ years in Data Engineering roles
• 3 years of direct development in Snowflake, Snowflake certifications preferred.
• Strong proficiency in Python, PySpark, and Apache Airflow.
• Experience utilizing Git version control, working with/in GitHub and GitActions.
• Experience designing data models following Kimbal Dimensional Modeling best practices.
• Experience with modern ETL/ELT tools, such as Databricks, and prior experience working in a cloud platform (Azure preferred).
• Experience with business intelligence tools, ideally Power BI, and working with Azure Data Factory preferred.
• Experience in distributed computing, using Spark and Kafka for data streaming, preferred.
Experience working with SAP and Salesforce, preferred