Question 1

What is Google Cloud Data Engineering training?

Accepted Answer

It is the programme for building and operating data platforms on Google Cloud: ingestion, batch and streaming transformation, BigQuery warehousing, governance and operations. SkilBrill runs it over 12 weeks and 72 hours with the Professional Data Engineer exam as the spine.

Question 2

What does the Google Cloud Data Engineering syllabus cover?

Accepted Answer

Eight modules: the data platform design, ingestion batch and streaming, Dataflow pipelines, BigQuery warehousing and modelling, Spark and Dataproc on a lakehouse, data quality and governance with Dataplex, orchestration and CI/CD, and an end-to-end platform capstone.

Question 3

What is the duration and fee of the Google Cloud Data Engineering course?

Accepted Answer

12 weeks, three sessions a week of two hours each, totalling 72 classroom hours. Fees are ₹45,000 – ₹75,000 depending on batch and mode. Weekday, weekend and evening batches are open.

Question 4

Which certification does this course prepare me for?

Accepted Answer

Professional Data Engineer, plus SkilBrill’s own course completion certificate. Exam registration and fees are paid directly to Google Cloud and are separate from the course fee.

Question 5

Do I need SQL or coding experience for this course?

Accepted Answer

Strong SQL is assumed and is the single most useful preparation. Python is used in the Dataflow modules and is taught in the context of the pipelines rather than from first principles. Analysts with solid SQL typically do very well.

Question 6

What jobs can I get after Google Cloud Data Engineering?

Accepted Answer

Data Engineer on GCP, Analytics Engineer, ETL and ELT Developer and Data Platform Engineer. Freshers in India typically start at ₹6–14 LPA, with BigQuery-heavy and real-time roles at the higher end.