Professional Data Engineer | Drop Outs Personalized Learning
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Professional Data Engineer

Enable data-driven decision making by collecting, transforming, and publishing data through secure pipelines. Master Google Cloud Platform (GCP) data services.

β˜… 4.9/5 Rating
πŸ‘₯ 85+ Enrolled

What You'll Learn

  • Design and build robust data processing systems on GCP.
  • Master BigQuery for high-performance data warehousing and analysis.
  • Operationalize machine learning models and create secure data pipelines.
  • Implement Dataflow for streaming and batch data processing.
  • Ensure data quality, reliability, and security across the lifecycle.
  • Leverage Pub/Sub for real-time messaging and event-driven architectures.

Prerequisites

Essential skills recommended for this professional level:

  • Strong understanding of SQL and relational databases.
  • Experience with Python or Java for data processing tasks.
  • Basic knowledge of cloud computing concepts and data architecture.

Career & Salary Outlook

Data Engineer$115,000 - $165,000
Big Data Architect$140,000 - $210,000
Cloud Data Architect$135,000 - $195,000
Data Warehouse Engineer$110,000 - $160,000

* Salaries vary based on location, experience, and company size.

Who Is This For?

Data Architects Backend Developers IT Professionals Data Analysts Database Administrators
2 Credits/Hr 5.00
Total Credits: 2 Credits
Course Code: GCP-PDE
Skill Level: Professional
Lectures: 45 Lessons
Certificate: Yes
Access: Lifetime

This course includes:

  • 1:1 Live Class Session
  • GCP Cloud Lab Access
  • ATS Resume Building
  • Interview Preparation
  • Practice Exam Q&A

Ready to start your journey?

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