Data Engineer - Computer Science - New College Graduate

What You Will Do

  • Collaborate closely with the engineering team to understand business and operational challenges. 
  • Identify opportunities and implement solutions using 4IR (Fourth Industrial Revolution) technologies. 
  • Focus on data engineering, automation, and analytics. 
  • Perform full-stack development, including SQL and Python. 
  • Apply a solid working knowledge of both shallow and deep machine learning methods.

Required Skills and Abilities

  • Graduate of BS in Computer Science, Electronics Engineering, or Computer Engineering. 
  • Proficient in SQL and Python. 
  • Experience in data analysis and visualization. 
  • Knowledge and experience in machine learning, including traditional methods, deep learning, and natural language processing (NLP) techniques.

About Us: 
 
At Western Digital, our vision is to power global innovation and push the boundaries of technology to make what you thought was once impossible, possible. 
 
At our core, Western Digital is a company of problem solvers. People achieve extraordinary things given the right technology. For decades, we’ve been doing just that. Our technology helped people put a man on the moon. 
 
We are a key partner to some of the largest and highest growth organizations in the world. From energizing the most competitive gaming platforms, to enabling systems to make cities safer and cars smarter and more connected, to powering the data centers behind many of the world’s biggest companies and public cloud, Western Digital is fueling a brighter, smarter future. 
 
Binge-watch any shows, use social media or shop online lately? You’ll find Western Digital supporting the storage infrastructure behind many of these platforms. And, that flash memory card that captures and preserves your most precious moments? That’s us, too. 

Closed 3 hours ago
Closed 3 hours ago
  • Job type:Graduate Jobs
  • Disciplines:
    Computer Science, Engineering Software
  • Citizenships:
  • Locations:
    Laguna
  • Closing Date:6th Jul 2024, 6:00 pm

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