Target Audience

The candidates for this certification are the data engineers or those aiming to become one. These individuals should have the capacity to allow data-driven decision-making through the collection, transformation, and publishing of data. They have the expertise in designing, building, and operationalizing secure data processing systems and monitoring the same. This is with the specific emphasis on compliance and security, fidelity and reliability, portability and flexibility, as well as efficiency and scalability.

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Understanding functional and technical aspects of Google Professional Data Engineer Exam Designing data processing systems

The following will be discussed here:

• System availability and fault tolerance
• Hybrid cloud and edge computing
• At least once, in-order, and exactly once, etc., event processing
• Selecting the appropriate storage technologies
• Use of distributed systems
• Schema design
• Data modeling
• Capacity planning
• Choice of infrastructure
• Data publishing and visualization (e.g., BigQuery)
• Job automation and orchestration (e.g., Cloud Composer)
• Online (interactive) vs. batch predictions
• Designing data pipelines
• Designing data processing systems
• Tradeoffs involving latency, throughput, transactions
• Mapping storage systems to business requirements
• Batch and streaming data (e.g., Cloud Dataflow, Cloud Dataproc, Apache Beam, Apache Spark and Hadoop ecosystem, Cloud Pub/Sub, Apache Kafka)
• Distributed systems
• Architecture options (e.g., message brokers, message queues, middleware, service-oriented architecture, serverless functions)

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

Career Opportunities

The certified individuals can explore a variety of job opportunities. Some of the positions that they can take up include a Software Engineer, a Cloud Architect, a Data Engineer, a Sales Engineer, a Data Scientist, a Cloud Developer, and a Kubernetes Architect, among others. The salary outlook for these job roles is an average of $128,500 per annum.

Google Professional-Data-Engineer Exam Syllabus Topics: