Google Cloud Data Engineer Course

The course Google Cloud Data Engineer course is created to teach employees the necessary skills to design, develop, and operate robust data processing systems using Google Cloud Platform (GCP). The course is aimed at helping learners to process large-scale data effectively without abusing it in terms of reliability, security, and performance. The participants will develop a profound knowledge of data engineering principles, such as data ingestion, transformation, storage, and analytics with the GCP services.

During the course, the Learners will study the most important tools that are: BigQuery, Cloud storage, Cloud SQL, bigtable, dataflow, dataproc and pub/sub. The curriculum focuses on the design of data pipelines, data processing to support batch and streaming data processing, and the optimization of data workflows to support business intelligence and machine learning applications. The use of practical experiments and actual situations allows learners to put theoretical information into practice and address the problem of data related to industry.

Data governance, monitoring, troubleshooting and optimization of costs are also discussed in the course, so the learners are able to handle end to end data solutions in production backgrounds. At the conclusion of the program, participants will be capable of building scalable, secure, and high-performing data platforms aligned with modern enterprise needs.

This is an intensive training provided by ssdn technologies, a reputed Best Training Company, which provides industry-oriented training with a professional guidance, practical learning and career-related results in the case of potential and seasoned data engineers. 
 


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Learning Options for You

  • Live Training (Duration : 40 Hours)
  • Per Participant

Fee: On Request

Course Prerequisites

  • Basic knowledge of databases and SQL
  • Understanding of data processing concepts (ETL/ELT)
  • Familiarity with cloud computing fundamentals
  • Basic programming knowledge (Python or Java preferred)

Learning Objectives

This course prepares learners to design, build, and manage data processing systems on Google Cloud. It covers data ingestion, transformation, storage, and analysis using services like BigQuery, Dataflow, Dataproc, Pub/Sub, and Cloud Storage. The course emphasizes scalability, security, automation, and performance optimization for real-world data engineering use cases.

Target Audience

  • Data engineers and data analysts
  • Cloud and big data professionals
  • Software engineers working with data pipelines
  • BI and analytics professionals
  • IT professionals migrating data workloads to Google Cloud

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