Build Scalable Data Solutions on Google Cloud

Gcp DataEngineering

Learn how to design, build, and manage data processing systems using Google Cloud Platform’s powerful tools like BigQuery, Dataflow, Pub/Sub, and Cloud Storage. Ideal for professionals aiming to master real-time, scalable, cloud-native data engineering.

5000+

Enrolled

4.9/5

Rating

99%

Placements

Foundational Clarity

Build a rock-solid base with Linux, Hadoop, and Shell scripting — the essentials every data engineer must master.

Cloud Integration

Seamlessly transition to cloud with hands-on experience in AWS services like S3, EMR, Redshift, and Glue.

Real-World Projects

Work on industry-level projects that mirror real job challenges and build the confidence to deliver in the field.

Placement Focused

Receive end-to-end career support including resume building, mock interviews, and job referrals until you're placed.

Our Personalized Course Curriculum

  • Overview of GCP services and architecture

  • Understanding regions, zones, and projects

  • IAM roles and access management

  • Google Cloud Storage (GCS)

  • Cloud SQL and Cloud Spanner

  • Introduction to BigQuery

  • Querying massive datasets with SQL

  • Optimizing performance and managing costs

  • Partitioning and clustering strategies

  • Concepts of messaging systems

  • Building event-driven architectures

  • Pub/Sub integration with other GCP services

  • Apache Beam fundamentals

  • Building and deploying Dataflow pipelines

  • Handling streaming and batch data in real-world scenarios

  • Introduction to workflow orchestration

  • Creating and managing DAGs

  • Scheduling and monitoring ETL workflows

  • Managing security and compliance

  • Setting up Cloud Monitoring and Logging

  • Best practices for production-level pipelines

  • Real-world data pipeline implementations

  • Use cases from domains like finance, e-commerce, and healthcare

  • Capstone project to build end-to-end GCP data architecture

  • GCP is trusted by top tech companies like Spotify, PayPal, and Snapchat

  • BigQuery is one of the fastest-growing enterprise data warehouses

  • Demand for GCP-skilled engineers is rapidly increasing

  • Seamless integration with AI/ML and analytics tools

  • Future-proof skillset aligned with cloud-first companies

  • Beginners and mid-level professionals exploring cloud data platforms

  • ETL Developers & SQL experts moving to cloud-native tools

  • Data analysts aiming to upskill in GCP

  • Software engineers and backend devs transitioning to data roles

  • Learn to build reliable, scalable data pipelines using GCP tools

  • Gain expertise in BigQuery, Dataflow, and Pub/Sub

  • Design and deploy batch and real-time data processing architectures

  • Prepare for GCP Data Engineer certifications and job roles

  • Instructor-led live sessions with hands-on labs

  • GCP account setup & cloud credits guidance

  • 1:1 mentorship and query resolution

  • Resume + LinkedIn optimization

  • Certification of completion & placement support

Real Feedback Real Results

"The live sessions are interactive and easy to follow. The mentors explain everything with great clarity"

Tyler Morgan

"I switched from a non-tech background to a data role. The hands-on support made all the difference."

Tyler Morgan

"The one-on-one mentorship helped me clear all doubts. The guidance was personal and consistent."

Tyler Morgan

"Great course structure and recorded classes. I could revise anytime, which helped me stay on track."

Tyler Morgan

"Coding practice was intense and helpful. The 600+ exercises truly made me ready for real interviews."

Tyler Morgan

"Karthik sir is very supportive. He always makes sure no student is left behind, even during tough topics."

Tyler Morgan

"From resume tips to mock interviews, the placement support is solid. I got placed within a few months."

Tyler Morgan

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