Advanced Data Scientist

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

Our EMEA brand support center in Hoofddorp is looking for a Data Engineer.

Crocs is seeking a Data Engineer to develop, test, and maintain data pipelines and related architectures within the Azure platform. 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 to help facilitate the usage of more sophisticated analytics/data science throughout the organization.

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 processing

Engineering Best Practices

• Adhere to engineering best practices, including test-driven development, agile management, and continuous integration pipelines

Documentation

• Create and maintain accurate and complete documentation of the pipelines developed

Aptitude for learning

• Stay current on what is happening within the BI and analytics space
• Demonstrate interest and desire in the area of data science and machine learning

Who are you?

Minimum Education:

• Bachelor’s degree in computer science, information technology, engineering, mathematics, or equivalent technical degree

Minimum Experience:

• 2+ years in a similar role

Knowledge, Skills & Abilities:

• Strong proficiency in ANSI-SQL
• Proficiency in Python, Pandas, and/or PySpark
• Experience with Databricks or similar products
• Experience with a business intelligence tool, such as Power BI
• Experience in SAP ERP or other similar ERP systems is a plus
• Experience in Snowflake Database or other similar columnar database
• Prior experience working in a cloud platform
• Experience working in Azure or a Microsoft-specific environment is a plus
• Experience working with modern ETL/ELT tools, such as Data Factory, Databricks, or similar

What do we offer?

• A job within an unique and fast growing global brand;
• 40 hours per week, in-office and remote combined, a fair salary, good pension arrangement and a bonus opportunity;
• Fun work place, 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!