The Top GCP Cloud Data Engineer Training in India
                     Introduction to GCP 
Data Engineering
Welcome to the exciting world of Google Cloud Platform 
(GCP) Data Engineering. This presentation will guide 
aspiring data engineers and IT professionals through the 
essentials of building robust data solutions on GCP.
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Core Concepts of Data Engineering
Data Storage Processing Analysis & 
Ingestion Solutions Data Reporting
Collecting data Choosing Transforming Extracting value 
from diverse optimal storage raw data into from processed 
sources. for data. insights. data.
Data engineering foundational concepts include data ingestion, storage, processing, and analysis. 
Understand batch versus real-time processing and the role of automation. Scalability and reliability are 
crucial for modern data workflows.
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Key GCP Services for Data Engineers
BigQuery Cloud Dataflow Cloud Pub/Sub Cloud Storage
Serverless data Unified programming Real-time messaging Highly durable and 
warehousing for for stream and batch. for event ingestion. available object 
analytics. Use SQL for Handles large-scale Decouples systems storage. Ideal for 
powerful queries. data processing. efficiently. data lakes.
Cloud Composer
Managed Apache Airflow for orchestration. Automates complex workflows.
GCP offers specialized services essential for data engineers. BigQuery for analytics, Dataflow for 
processing, Pub/Sub for messaging, Cloud Storage for lakes, and Composer for workflow orchestration.
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Technical Skills You Must Learn
Mastering key technical skills is vital for data engineers. SQL is essential for querying and transformation. Python enables scripting and automation 
for data tasks.
SQL Proficiency
Crucial for data querying and transformation.
Python Scripting
For automation and data manipulation.
Data Modeling
Designing efficient schemas and structures.
Cloud Security
Understanding IAM and data protection.
Additionally, strong data modeling skills are necessary. Familiarity with various APIs and data formats like JSON, Avro, and Parquet is important. Basic 
cloud security and IAM fundamentals are also critical.
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Learning Path for Beginners
Cloud Fundamentals
Start with basic cloud concepts and GCP basics.
BigQuery Mastery
Learn data warehousing using BigQuery.
ETL Workflows
Build and automate ETL with Dataflow, Composer.
Mini-Projects
Apply skills on public datasets and real-world scenarios.
For beginners, start with GCP fundamentals. Then, focus on data warehousing with BigQuery. Build and automate ETL workflows using Dataflow and Composer. Engage in 
mini-projects with public datasets. Consider hands-on GCP Data Engineering training.
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Real-Time & Advanced Data Scenarios
Dive into advanced scenarios like setting up real-time streaming pipelines with Pub/Sub and Dataflow. Learn to handle 
time-series and log data effectively. Explore integrating data with ML models in Vertex AI.
Time-Series
Streaming
Handling log data efficiently.
Pub/Sub + Dataflow pipelines.
ML Integration
Connecting with Vertex AI models.
Dashboards
Metadata
Building with Looker or Data Studio.
Using Data Catalog for management.
Utilize Data Catalog for robust metadata management. Finally, build informative dashboards using tools like Looker or 
Data Studio for visualization.
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Certification and Career Path
1 2 3
Get Certified High Demand Competitive Pay
Google Cloud Professional Data Engineer Top job roles in Data and Cloud Strong salaries globally and freelancing.
Certification. Engineering.
The Google Cloud Professional Data Engineer Certification offers significant career benefits in 2025. This certification validates 
your expertise. High job demand exists for Data Engineers, Cloud Engineers, and Data Analysts. Expect competitive salaries and 
diverse opportunities.
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Final Tips and Resources
Continuous learning is key to success in data engineering.
• Keep learning with Google Cloud Skill Boosts.
• Follow blogs, GitHub, and GCP documentation.
• Join data engineering communities and forums.
• Practice on real-world projects and case studies.
• Stay updated with trends like GenAI + DataOps.
Utilize resources like Google Cloud Skill Boosts. Engage with blogs, GitHub, and official GCP 
documentation. Participate in data engineering communities and forums. Actively practice on real-
world projects and case studies. Stay updated on emerging trends like Generative AI and DataOps.
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Contact
GCP Data Engineer
Address:- Flat no: 205, 2nd Floor,
Nilgiri Block, Aditya Enclave,
Ameerpet, Hyderabad-1 
Ph. No: +91-7032290546 
Visit: WWW.VISUALPATH.IN
E-Mail: [email protected]
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THANK 
YO•U Visit: www.visualpath.in
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