A Professional Data Engineer enables data-driven decision making by collecting, transforming, and visualizing data. The Data Engineer designs, builds, maintains, and troubleshoots data processing systems with a particular emphasis on the security, reliability, fault-tolerance, scalability, fidelity, and efficiency of such systems.

The Data Engineer also analyzes data to gain insight into business outcomes, builds statistical models to support decision-making, and creates machine learning models to automate and simplify key business processes.

• Familiarity with Google Cloud Platform at the level of Google Cloud Certified Associate Cloud Engineer or CompTIA Cloud+ or Cloud Essentials (optional)

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• Significant global demand
• The high adoption rate of Google cloud services by organizations
• The lack of cloud expertise is identified as the #1 challenge with cloud adoption by 25% of corporations. There’s clearly a shortage of certified Google cloud professionals available today
• Combining Google Cloud certifications with other certifications to expand skill sets and increase salaries even more

• Cloud Data Engineer
• Cloud Engineer
• Data Science Engineer
• Data Analysts