Cloud Data Engineering Course with Placement Support
7–8 months from SQL and Python foundations to building cloud pipelines: warehousing, ETL, Spark, Kafka streaming, lakehouse and Airflow orchestration on Azure, AWS and GCP.
- For analysts moving up into engineering
- Spark, Airflow, dbt, Kafka across Azure, AWS and GCP
- 4+ real-time cloud projects in retail, finance and health
- Every live class is recorded, so you can catch up on a missed session
- Duration7–8 MONTHS+ · SUPPORT TILL PLACEMENT
- FormatLIVE + RECORDED
- ForGraduates · Working professionals · Analysts moving into engineering
Data engineer banna hai?
Python and SQL are not enough: adding Spark and cloud
Data engineer banna hai?
Python and SQL are not enough: adding Spark and cloud
01Upcoming batches
31 October 2026
Weekend batch · Sat & Sun
10:00 AM – 12:30 PM
Admissions open
0211 modules, taught live
03Tools & technologies
- SQL
- dbt
- Delta Lake
04Industry projects
Design a Cloud Data Warehouse
Star and snowflake modelling with fact, dimension and SCD handling.
End-to-End ETL Pipeline
Incremental loading and CDC, scheduled with Apache Airflow and dbt.
Orchestrate a Multi-Step Pipeline
Dependencies, retries and alerting across Airflow, ADF and Step Functions.
Warehouse to Dashboard Reporting
Power BI reporting layer built directly on the warehouse.
05Outcomes
- Target roles: Data Engineer, Cloud Data Engineer, ETL Developer, Analytics Engineer, Data Warehouse Engineer, BI Developer
- 4+ real-time cloud data projects across Retail, Finance, Healthcare and E-Commerce
- Industry-recognised certificate and a dedicated in-house placement cell