We are looking for Senior Data Engineer who will join the Enterprise, Data and Analytics Team and help us make the world a better place through innovation, which means we’re taking risks and questioning conventional thinking, and developing new technologies and ways of doing business – leading the way, every single day.
Enjoy doing things that people say can’t be done? Innovation is at the center of everything we do.
Hate red tape? We remove roadblocks instead of creating them.
Looking for community? There are many ways to get involved, from Employee Resource Groups to local outreach.
The Role
As part of a global team you will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross-functional teams. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data solutions and building them from the ground up. The Data Engineer will support our software developers, database architects, data analysts and data scientists while ensuring optimal data delivery architecture is consistent throughout ongoing projects. The Data Engineer will be responsible for the day-to-day activities related to the implementation of new services and support for existing services.
We are looking for intelligent, driven individuals who are passionate about what they do and have exceptional teamwork skills. The skills and experience needed for this role are listed below. However, we understand that there might be a few requirements that you don’t meet or skills that you don’t yet have. That’s ok! If you are a smart, passionate, hardworking individual who is eager to learn we would like to speak with you about joining our wolf pack!
Your day-to-day – We do what others say can’t be done
Provide technical expertise and execute the design, development and support of data solutions for Wolfspeed business partners, including configuration, administration, monitoring, performance tuning, debugging, and operationalization.
Build and maintain data solutions using Snowflake, dbt (data build tool), Fivetran, Azure Cloud (storage, VMs, containers, Azure Data Factory), Python, Docker and SQL.
Participate in the development lifecycle using Agile / DevOps methodologies using Azure DevOps.
Translate simple to complex requirements into functional and actionable tasks.
Serve as a subject matter expert for Wolfspeed operations for data integration from enterprise applications (SAP, Oracle, ModelN, Salesorce, Workday, etc.), using that knowledge to craft data solutions that provide maximum visibility to global stakeholders.
Your Profile – Ready to join the Pack?
Minimum 4+ years’ experience in a Data Engineering role, or Software Engineering role with a focus on data.
Hands-on skills with a programming languagesuch as Python, Java, Go, etc.
Public cloud experience (Azure, AWS or GCP)
Writing complex SQL Queries
ETL tools (Fivetran, Azure Data Factory) or writing custom data extraction applications, Data Modeling, Data Warehousing and working with large-scale datasets.
Experience leveraging DevOps and lean development principles such as Continuous Integration, Continuous Delivery/Deployment using tools like Azure DevOps, Github, Gitlab, etc.
Designing and building modern data pipelines and data streams
This role may require additional duties and/or assignments as designated by management.
We understand that there might be a few requirements that you don’t meet. That’s ok! Apply!
Please note that we DO NOT provide personalized, detailed feedback regarding the outcome of any of your interviews
At Wolfspeed, we do amazing things in a human way.
We are a global powerhouse semiconductor company leading the transformation from Silicon to Silicon Carbide technologies, providing solutions for efficient energy consumption and a sustainable future. While there is a great deal of complexity in our designs and solutions, what we provide for our customers is simple – we make systems more efficient while reducing cost and increasing performance.
Wolfspeed’s product families include Silicon Carbide materials, and power-switching devices targeted for various applications such as electric vehicles, fast charging, renewable energy and storage.
