Data Engineer at Crocs, Inc. Global Jobs

Crocs, Inc. (NASDAQ: CROX) is a world leader in innovative casual footwear for men, women and children. The company offers several distinct shoe collections with more than 300 four-season footwear styles. All Crocs™ shoes feature Croslite™ material, a proprietary, revolutionary technology that gives each pair of shoes the soft, comfortable, lightweight, non-marking and odor-resistant qualities that Crocs wearers know and love. Crocs fans “Get Crocs Inside” every pair of shoes, from the iconic clog to new sneakers, sandals, boots and heels. Since its inception in 2002, Crocs has sold more than 200 million pairs of shoes in more than 90 countries around the world. 

Introduction on the role: 

Crocs is seeking a Data Engineer to develop, test, and maintain data pipelines and related architectures within the OIC, Airflow, Azure, and Snowflake platforms. This position will help to enable the Crocs enterprise to make bigger, bolder decisions faster. The Data Engineer will work independently and with the team with the aim to facilitate the utilization of more sophisticated analytics and data for enhanced business insights. 

What will you do? 

• Data Modeling -Execute a framework to be used within our Enterprise Data Warehouse (EDW) by providing consistent predictable techniques and methodologies for data ELT/ETL. 
• Develop ETL/ELT processes and patterns to efficiently move data using batch and CI/CD processing. 
• 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. 
• 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. 
• Interest in Learning - Stay ahead of on what is happening within the BI and analytics space and demonstrate interest and desire in the area of data science and machine learning 

Who are you? 

• Bachelor’s degree in computer science, information technology, engineering, mathematics, or equivalent technical degree 
• 2+ years of experience in a similar role 
• Experience working in Azure. 
• Experience designing data models following Kimbal Dimensional Modeling best practices. 
• Experience working with modern ETL/ELT tools, such as Databricks is required. 
• Familiarity with OIC business logic transformations  
• Strong Proficiency in Python and experience in PySpark required.
• Strong Proficiency in SQL required.
• Experience with a business intelligence tool, such as Power BI is a plus.
• Experience in Snowflake Database or other similar columnar database
• Experience working with Azure Data Factory
• Experience utilizing Git version control in a data environment.
• Experience with continuous integration and deployment through Azure DevOps  
• Experience in distributed computing is preferred.
• Experience working with SAP and Salesforce is a plus.
• Prior experience working in a cloud platform.
• Experience using Spark and Kafka for data streaming. 

What do we offer?  

• A job within a unique environment with a 'startup dynamic' under the umbrella of a fast growing and solid global brand;  
• 40 hours per week, in-office and remote combined, a fair salary, good pension arrangement and a bonus opportunity;  
• Fun workplace, innovating working environment;  
• 25 paid holidays;  
• 50% discount on the most comfortable shoes in the world;  
• A healthy work environment with discount on your gym membership;  
• Our great training curriculum with in-person sessions and a global eLearning platform offers you a lot of room for personal growth to get a little bit better every day; 
• And so much more!  

Sounds pretty amazing right? Well, what are you waiting for?!  

We value diversity and provide equal employment opportunities (EEO) to all employees and applicants without regard to race, color, religion, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.