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Last Updated: Jul 23, 2026
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Data engineers are responsible for finding trends in data sets and developing algorithms to help make raw data more useful to the enterprise. This IT role requires a significant set of technical skills, including a deep knowledge of SQL database design and multiple programming languages They collect, transform, and visualize 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.
Reference: https://cloud.google.com/certification/data-engineer
This course is a gateway to introduce you to Google Cloud's big data and different machine learning functions. However, to successfully pass this training, you have to attain one year of experience in SQL, extract transform, data modeling, machine learning, programming in Python, and load activities. So, the objectives of the course are the following:
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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.
| Section | Weight | Objectives |
|---|---|---|
| Designing data processing systems | 20% | - Designing for regulatory and security requirements
|
| Operationalizing machine learning models | 20% | - Deploying and maintaining ML models
|
| Maintaining and automating data workloads | 18% | - Resource optimization
|
| Building and operationalizing data processing systems | 25% | - Deploying and managing systems
|
| Ensuring solution quality and reliability | 17% | - Testing and validating data systems
|
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