GCP Data Engineering
Build practical cloud data pipelines using GCS, BigQuery SQL, Dataflow and Airflow on Cloud Composer.
Trainer consultation available: 9 AM–9 PM IST. These are consultation hours, not class timings. Contact us for fees, duration, upcoming batches and available learning modes. Confirm any cloud lab charges before enrolling. Prior SQL knowledge is recommended; Python fundamentals are included.
- Duration
- Schedule to be confirmed
- Learning mode
- Contact us for available learning modes
- Level
- Intermediate
Who can join?
SQL/Python developers, ETL professionals and aspiring data engineers
Course highlights
- Practical pipeline project
- Trainer consultation: 9 AM–9 PM IST
- Prerequisites reviewed before enrolment
- Contact us for fees and batch details
Syllabus
- GCP fundamentals, IAM, service accounts and billing budgets
- Python fundamentals for data pipelines
- GCS: buckets, permissions and file formats
- BigQuery SQL: joins, window functions, partitioning and clustering
- Apache Beam and Dataflow: batch processing and streaming fundamentals
- Airflow and Cloud Composer: DAGs, scheduling, dependencies and retries
- Monitoring, data quality, troubleshooting and cost optimisation
- Project: GCS to BigQuery pipeline orchestrated with Cloud Composer
Where can I learn?
Classroom learning in Mudichur / Tambaram, Chennai. Contact our learning team to confirm the available batch and online learning options.
Ask about fees, schedules and enrolment · Learning options across Tamil Nadu
Related teaching and interview guides
Learning questions
Where are classroom sessions available?
Classroom learning is offered in Mudichur / Tambaram, Chennai. Contact the learning team to confirm the current batch, venue and online options.
How do I confirm fees and prerequisites?
Review the syllabus and level on this page, then share your experience with the learning team. Confirm current fees, taxes, prerequisites and any cloud usage costs before enrolling.
Does interview preparation guarantee a job?
Interview practice and placement support help you prepare. They do not guarantee a job, salary or selection; employers make their own hiring decisions.