Big Data & Data Engineering
Best GCP Data Engineering Training in Hyderabad
A practical GCP Data Engineering course in Hyderabad covering BigQuery, Cloud Storage, Dataflow, Dataproc, Pub/Sub, Cloud Composer and Looker Studio. Learn live from working data engineers at our Madhapur classroom or through GCP Data Engineering online training in Hyderabad.
- Training modes
- Live online · Classroom (Madhapur) · Corporate
- Curriculum
- 9 modules, 57 topics
- Before you enroll
- Free demo session with the trainer
- Missed a class?
- Recorded sessions and other live batches
What is GCP Data Engineering?
GCP Data Engineering is building and running data pipelines and analytics platforms on Google Cloud. As the best GCP Data Engineering training in Hyderabad, our course teaches you to collect, process, store and analyse data with BigQuery, Dataflow, Dataproc and Pub/Sub, using real projects.
Where GCP Data Engineering is used
Serverless data warehousing
Storing and analysing terabytes of data in BigQuery with fast SQL and no servers to manage.
Batch and streaming pipelines
Building pipelines with Dataflow (Apache Beam) that handle both batch files and live event streams.
Big data processing
Running Spark and Hadoop jobs on Dataproc for large-scale transformations.
Analytics and machine learning
Powering dashboards in Looker Studio and ML models with BigQuery ML and Vertex AI.
Platforms and tools you will work on
- BigQuery
- Cloud Storage
- Dataflow (Apache Beam)
- Dataproc
- Pub/Sub
- Cloud Composer (Airflow)
- Cloud Functions
- Dataform
- Looker Studio
- Vertex AI
Why now
Why learn GCP Data Engineering in 2026
Fast-growing cloud platform
More companies are moving analytics to Google Cloud, creating demand for GCP data engineers.
BigQuery skills are valued
BigQuery is one of the most widely used cloud data warehouses, and employers look for it on resumes.
Recognised certification
The course prepares you for the Google Cloud Professional Data Engineer certification.
Who this course is for
- Fresh graduates who want a data engineering job
- SQL, ETL and BI developers moving to the cloud
- Data analysts who want to build pipelines
- Engineers working on other clouds who want GCP skills
Before you start
- Basic SQL knowledge
- Basic Python is helpful (we cover what you need)
Tools and technologies you will use
- BigQuery
- Cloud Storage
- Dataflow (Apache Beam)
- Dataproc
- Pub/Sub
- Cloud Composer (Airflow)
- Cloud Functions
- Dataform
- Looker Studio
- Vertex AI
What you will be able to do
- Design data warehouses in BigQuery
- Build batch and streaming pipelines with Dataflow
- Run Spark jobs on Dataproc
- Ingest real-time events with Pub/Sub
- Orchestrate workflows with Cloud Composer
- Build dashboards in Looker Studio
GCP Data Engineering training institute in Hyderabad
RS Trainings is a GCP Data Engineering training institute in Hyderabad located at Nukala Residency, Madhapur, Hi-Tech City. Our trainers are working GCP data engineers who build analytics platforms on Google Cloud, so every class reflects how real projects are delivered.
You can join classroom batches at our GCP Data Engineering training center in Hyderabad or attend live GCP Data Engineering online training in Hyderabad from anywhere. Both modes include the same live sessions, hands-on labs, class recordings and trainer support.
Classroom training
- Weekday and weekend batches in Madhapur
- Hands-on lab practice
- Small batches with personal attention
- Real-time project work
Online training
- Live, interactive sessions with the trainer
- Recordings of every class
- Doubt-clearing sessions
- Same projects as classroom batches
Whether you are starting out or moving up in your career, our GCP Data Engineering course in Hyderabad gives you practical skills, real projects and interview preparation. Book a free demo to meet the trainer before you join.
GCP Data Engineering curriculum
9 modules taught with live labs and real-time examples. Each module ends with a practical exercise.
1 Google Cloud Fundamentals 7 topics
- Cloud computing basics
- GCP projects, regions and zones
- IAM roles and service accounts
- Cloud console, gcloud and Cloud Shell
- Billing and cost control
- Data engineering on GCP overview
- Setting up your GCP lab
2 Python and SQL for Data Engineering 6 topics
- Python essentials for data
- Working with JSON, CSV and APIs
- Advanced SQL joins and aggregations
- Window functions
- Query optimisation basics
- Hands-on exercises
3 Cloud Storage and Data Lakes 6 topics
- Buckets, objects and storage classes
- File formats: Parquet, Avro, ORC
- Data lake design on GCS
- Lifecycle rules and versioning
- Security and encryption
- Transfer Service and gsutil
4 BigQuery Data Warehousing 9 topics
- BigQuery architecture
- Datasets, tables and schemas
- Partitioning and clustering
- Loading and streaming data
- Advanced SQL in BigQuery
- Views, materialised views and scheduled queries
- Cost and performance optimisation
- BigQuery ML basics
- Dataform for SQL pipelines
5 Dataflow and Apache Beam 6 topics
- Apache Beam programming model
- Batch pipelines with Dataflow
- Streaming pipelines and windowing
- Dataflow templates
- Monitoring and autoscaling
- Error handling and dead-letter queues
6 Dataproc and Spark 6 topics
- Dataproc clusters and Dataproc Serverless
- PySpark DataFrames
- Running Spark jobs on Dataproc
- Integrating with GCS and BigQuery
- Cluster sizing and cost control
- Spark performance tuning
7 Pub/Sub and Real-time Data 5 topics
- Pub/Sub topics and subscriptions
- Push and pull delivery
- Streaming into BigQuery
- Cloud Functions triggers
- Real-time pipeline design
8 Orchestration, Monitoring and Security 6 topics
- Cloud Composer (Airflow) DAGs
- Workflows and Cloud Scheduler
- Cloud Logging and Monitoring
- Data quality checks
- Data governance with Dataplex
- CI/CD with Cloud Build and Git
9 Real-time Project and Career Preparation 6 topics
- End-to-end GCP data pipeline project
- Dashboards in Looker Studio
- Professional Data Engineer certification guidance
- Resume preparation
- Mock interviews
- GCP data engineering interview questions
Career path after GCP Data Engineering
-
Step 1
Junior Data Engineer / ETL Developer
-
Step 2
GCP Data Engineer
-
Step 3
Senior Data Engineer / Analytics Engineer
-
Step 4
Data Architect / Lead Data Engineer
Roles this course prepares you for
- GCP Data Engineer
- BigQuery Developer
- Cloud Data Engineer
- Analytics Engineer
These skills also prepare you for analytics engineering and machine learning engineering roles.
Frequently asked questions
Which is the best GCP Data Engineering training institute in Hyderabad?
RS Trainings in Madhapur, Hi-Tech City is a trusted GCP Data Engineering training institute in Hyderabad. Classes are taught live by working professionals, with real-time projects, recordings and placement support.
What is the duration of the GCP Data Engineering course in Hyderabad?
The GCP Data Engineering course in Hyderabad usually takes about 2 to 3 months, depending on weekday or weekend batches. Contact us for the current batch schedule.
Do you offer GCP Data Engineering online training in Hyderabad?
Yes. Our GCP Data Engineering online training in Hyderabad uses live, interactive sessions with the same trainer, curriculum and projects as classroom batches, plus recordings of every class.
Where is your GCP Data Engineering training center in Hyderabad?
Our GCP Data Engineering training center in Hyderabad is at #402, Nukala Residency, Madhapur, Hi-Tech City, Hyderabad 500081.
Do I need Google Cloud experience before joining?
No. We start with Google Cloud basics. Basic SQL is enough to begin.
Does the course cover Google Cloud certification?
Yes. It prepares you for the Google Cloud Professional Data Engineer exam.
Will I work on real-time projects?
Yes. Every module includes hands-on labs, and the course ends with an end-to-end real-time project you can add to your resume.
Do you provide placement assistance?
Yes. We help with resume preparation, mock interviews, interview questions and job referrals.
Can I attend a free demo?
Yes. Book a free demo session to meet the trainer and see how classes work before you enroll.
What if I miss a class?
You get the recording of every session, and you can also attend the same topic in another live batch.