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Understanding functional and technical aspects of Google Professional Data Engineer Exam Ensuring solution quality

The following will be discussed here:

• Ensuring reliability and fidelity
• Ensuring flexibility and portability
• Choosing between ACID, idempotent, eventually consistent requirements
• Identity and access management (e.g.,Cloud IAM)
• Ensuring scalability and efficiency
• Data security (encryption, key management)
• Planning, executing, and stress testing data recovery (fault tolerance, rerunning failed jobs, performing retrospective re-analysis)
• Pipeline monitoring (e.g., Stackdriver)
• Mapping to current and future business requirements
• Ensuring privacy (e.g., Data Loss Prevention API)
• Data staging, cataloging, and discovery
• Resizing and autoscaling resources
• Designing for data and application portability (e.g., multi-cloud, data residency requirements)
• Building and running test suites
• Verification and monitoring
• Assessing, troubleshooting, and improving data representations and data processing infrastructure
• Performing data preparation and quality control (e.g., Cloud Dataprep)
• Designing for security and compliance
• Legal compliance (e.g., Health Insurance Portability and Accountability Act (HIPAA), Children's Online Privacy Protection Act (COPPA), FedRAMP, General Data Protection Regulation (GDPR))

Career Path

Completing the exam associated with the Google Professional Data Engineer certification provides you with a great validation of your skills in designing, building, operationalizing, securing, and monitoring data processing systems. The job roles that you can take up after getting certified include a Google Cloud Data Engineer, an Operations Engineer, a Cloud Infrastructure Engineer, a DevOps Infrastructure Engineer, a Cloud Database Engineer, a Google Cloud IAM Engineer, a DataOps Engineer, a Big Data Engineer, a Google Cloud Platform Data Architect, and more. The average salary that you can expect to earn with this certificate is around $125,550 per year. However, the real remuneration will depend on a specific job title, location of an individual, and his/her working experience.

Reference: https://cloud.google.com/certification/data-engineer