Master Google Cloud's data engineering tools — BigQuery, Dataflow, Pub/Sub, Dataproc. Build real data pipelines on GCP and prepare for the Professional Data Engineer certification from Ameerpet.
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If you've worked with data in any capacity, you'll understand what BigQuery feels like the moment you run your first petabyte-scale query and get results in seconds — at a fraction of the cost of running your own infrastructure. That's not marketing; that's why Hyderabad's fastest-growing product companies are all moving their analytics to GCP.
This course takes you through the complete GCP data engineering stack. You'll design batch pipelines with Dataflow and Apache Beam, handle real-time event streaming with Pub/Sub, run distributed Spark jobs on Dataproc, and orchestrate everything with Cloud Composer (managed Airflow).
By the time you finish, you'll have 6+ production-grade pipeline projects in your portfolio and be fully prepared for the GCP Professional Data Engineer exam — one of the most respected cloud certifications in the industry.
Basic Python and SQL knowledge is helpful. Module 1 covers Python + SQL fundamentals, so non-technical backgrounds are welcome. No prior GCP experience needed.
8 modules — Python/SQL foundation to production-grade GCP data pipelines and Professional Data Engineer exam prep.
Design a star-schema data warehouse in BigQuery for e-commerce analytics. Load 50M+ rows from Cloud Storage, create partitioned tables, build Looker Studio dashboard.
Pub/Sub → Dataflow → BigQuery real-time pipeline processing clickstream data. Handle late arrivals with watermarks, build live monitoring dashboard.
Build a reusable Dataflow pipeline with Apache Beam that reads from GCS, applies complex transformations, and writes to both BigQuery and Cloud Spanner.
Process 10GB+ of raw log data using PySpark on Dataproc Serverless. Sessionise user journeys, aggregate metrics, and write results to BigQuery partitioned tables.
Build a Cloud Composer (Airflow) orchestrated data platform — daily Dataproc jobs, BigQuery transforms, data quality checks, and alerting on failures.
Design a governed data lake with Dataplex — zone management, metadata tagging, data quality rules, column-level security in BigQuery, and audit logging.
| Experience | Role | Hyderabad Salary |
|---|---|---|
| Fresher (0–1 yr) | Junior Data Engineer, BigQuery Analyst | ₹6–9 LPA |
| 1–3 Years | GCP Data Engineer, Cloud Data Engineer | ₹9–16 LPA |
| 3–5 Years | Senior Data Engineer, Data Architect | ₹15–22 LPA |
| 5+ Years | Data Engineering Lead, Principal Engineer | ₹22–35 LPA |
GCP Data Engineer training covers building scalable real-time and batch data pipelines on Google Cloud Platform using BigQuery, Dataflow, Pub/Sub, Dataproc, and Apache Beam. Our Hyderabad training at Ameerpet is 100% hands-on with 6+ real data pipeline projects on actual GCP accounts.
Basic Python and SQL knowledge is helpful. We cover Python and SQL fundamentals in Module 1. Students from non-technical backgrounds in Ameerpet and across Hyderabad have successfully completed this course after the foundation module.
BigQuery is Google Cloud's serverless, petabyte-scale data warehouse. It is the most powerful tool for analytics and BI on GCP. Companies in Hi-Tec City, Gachibowli, and Madhapur increasingly use BigQuery for their data needs, making BigQuery skills highly valuable in Hyderabad's job market.
We primarily prepare you for the Google Cloud Professional Data Engineer certification — one of the highest-value GCP certs. We also cover the Associate Cloud Engineer as a foundation. Exam prep includes practice tests, study materials, and exam strategies specific to Hyderabad's hiring patterns.
Yes! We have live online batches for students from Ameerpet, Hi-Tec City, Gachibowli, and all parts of Hyderabad. Same trainer, same 6+ data pipeline projects on real GCP accounts, same placement support. Online students from Ameerpet have got placed in top Hyderabad companies.
After GCP Data Engineer training you can work as: GCP Data Engineer, BigQuery Specialist, Cloud Data Analyst, Data Pipeline Developer, Data Platform Engineer. Companies in Hi-Tec City, Gachibowli, Madhapur, and Ameerpet are hiring with salaries from ₹7–24 LPA.
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