Qualifications

Minimum Qualification:
A Bachelor's Degree in Computer Science and Engineering, Data Science, Software Engineering, or a related discipline with at least 3 months of experience in:

• Modifying the code for data visualization layers (Python).
• Developing code for data processing to support data-marts from existing data warehouses.
• A proactive approach and commitment to delivering results.
• Suggesting and updating data dashboards.
• Utilizing frameworks and programming in Python and SPARK/PySpark.
• A portfolio (e.g., GitHub repository) showcasing relevant skills and experiences is a plus.

Preferred Qualifications:

• Master's degree
• Exceptional communication skills in English, both written and verbal.
• Understanding on Data-quality metrics and Data-quality metrics evaluation procedures.
• Excellent teamwork and communication abilities, comfortable in uncertain and complex decision-making scenarios.
• Familiarity with software engineering practices, including design patterns, object-oriented development, source control, service-oriented architecture, and software design methodologies.
• Experience in designing data models to meet customer requirements and proposing optimizations for internal storage models and schemas.
• Experience with Cloud Solutions/Infrastructure (Docker, Kubernetes, Azure, etc.) as a power user.

Inside this Business Group

The Data Platforms Engineering and Architecture (DPEA) Group invents, designs & builds the world's most critical computing platforms which fuel Intel's most important business and solve the world's most fundamental problems. DPEA enables that data center which is the underpinning for every data-driven service, from artificial intelligence to 5G to high-performance computing, and DCG delivers the products and technologies—spanning software, processors, storage, I/O, and networking solutions—that fuel cloud, communications, enterprise, and government data centers around the world.