01SQL-FUNDAMENTALS
SQL Fundamentals for Data Engineering
4 WeeksIntroduction to SQLDDL, DML, DCL, TCLJoins & SubqueriesWindow FunctionsCTE & ViewsIndexes & PerformanceReal-World SQL Use Cases
KSR DataVizon
AI-Powered Snowflake Data Engineering
Hands-on projects with placement and LMS support.
Snowflake with AWS Data Engineering involves leveraging the strengths of both platforms to build robust and scalable data pipelines and analytics solutions.
NASSCOM AffiliatedISO 9001:2015 CertifiedStartup India Recognised
Our students work at
TCS
Infosys
Wipro
Capgemini
Deloitte
IBM
HCL
EY
KPMG
PwC
Tech Mahindra
Persistent
Hexaware
LTM Limited
NokiaTCSInfosysWiproCapgeminiDeloitteIBMHCLEYKPMGPwCTech MahindraPersistentHexawareLTM LimitedNokiaDuration3 MonthsLive Training
ModeOnlineMentor-Led
Next Batch11th June8:00 PM IST
TrainerMr. Sagar15+ Years Industry Experience
01Why Learn
Why AI-Powered Snowflake Data Engineering?
Why Choose Multi Cloud Snowflake Data Engineering Training?
01
Master Snowflake Data Engineering on AWS & Azure
02
Build scalable ETL/ELT pipelines in multi-cloud environments
03
Work on real-time cloud data projects
04
Deploy end-to-end modern data warehouse solutions
→Who Can Learn
Built for engineers & switchers targeting strong outcomes.
Final-year Students
Graduate ready with deployed projects, not just a degree.
Software Developers
Backend or frontend devs ready to upskill.
Data Analysts
Already use SQL & Excel? Level up to advanced engineering.
Career Switchers
Non-tech professionals planning a complete pivot into technology.
Working Professionals
Upskill in evenings & weekends, with full LMS access for revision.
02About the Course
Deliberately sequenced architecture.
Not simple video playlists — mentor-driven engineering sprints optimized directly for scaling up skills.
Over 16 weeks of live, mentor-led training, you will move from fundamentals to advanced concepts through hands-on project sprints.
Sessions are 100% online and live — taught personally by industry practitioners. Every week ends with an assignment reviewed and graded by your mentor.
Career support continues until you land your first interview call. We help with LinkedIn & Naukri profile building, resume writing, mock interviews, and corporate etiquette.
Structured systematically. Focused clearly on active deployments.
What you walk away with
- Course Completion Certificate
- LinkedIn & Naukri profile building
- ATS-friendly resume preparation
- Support till you get interview calls
- Interview prep — tips & tricks
- Soft skills & corporate etiquette
- 365 days of LMS & recordings access
03Meet Your Trainer
Taught by active practitioners.
Lead Trainer · AI-Powered Snowflake Data Engineering
Mr. Sagar
Industry expert with over 10 years of experience shipping production applications.
10+Years Industry
1,200+Mentees Trained
LiveOnline Sessions
4.9Trainer Rating
04Tools & Frameworks
The stack you use on the job.
Work confidently using industry platforms across core deployment targets.
SQL
Snowflake
Data Warehousing
DBT
Python
Apache Airflow
Apache Spark
Databricks
Snowpark
Delta Lake
Apache Iceberg
AWS
Azure Data Factory
Azure Data Lake Storage
Matillion
06Curriculum Plan
Systematically layered foundations.
Sequential core units structured logically to compile robust engineering outcomes.
02DATA-WAREHOUSING
Data Warehousing Concepts
3 WeeksWhat is Data WarehousingOLAP vs OLTPETL vs ELTFact & Dimension TablesStar & Snowflake SchemasSlowly Changing Dimensions (SCD)
03SNOWFLAKE-CORE
Snowflake Architecture & Core Concepts
4 WeeksSnowflake ArchitectureVirtual WarehousesDatabases, Schemas & TablesStages & File FormatsTime Travel & Zero Copy CloningFail Safe & Data Recovery
04SNOWFLAKE-LOADING
Data Loading & Governance in Snowflake
3 WeeksCOPY Command & Bulk LoadingSnowpipe & Continuous IngestionHandling Semi-Structured DataUnloading Data to Cloud StorageRBAC & Role ManagementData Masking & Security
05SNOWFLAKE-ADVANCED
Advanced Snowflake Features
4 WeeksStreams & TasksDynamic TablesDirectory & Event TablesPerformance OptimizationClustering & Micro-PartitionsQuery Profile & Caching
06DBT
DBT with Snowflake
3 WeeksIntroduction to DBTDBT Models & MaterializationJinja & MacrosDBT Tests & DocumentationSnapshots for SCDDeployment & Git Integration
07PYTHON-AIRFLOW
Python & Apache Airflow
3 WeeksPython for Data EngineeringSnowflake Connectivity with PythonApache Airflow ArchitectureBuilding DAGsSnowflake OperatorsEnd-to-End Pipeline Orchestration
08BIGDATA-CLOUD
Big Data, Open Table Formats & Multi-Cloud
4 WeeksApache Spark & PySparkDatabricks ArchitectureDelta LakeApache IcebergAWS Services for Data EngineeringAzure Data Factory with SnowflakeEnd-to-End Multi-Cloud Projects
07Resources
Engineering tasks that compound.
A
Active Assignments
Weekly Task Reviews
- Weekly coding challenges and assignments
- Real-world schema query assignments
- Building and deploying a mini-project
- End-to-end capstone project with codebase audit
N
Module References
Running Notes
- Live session recordings — every class is recorded
- Mentor-written PDF notes for each phase
- Annotated code repositories and guides
- Cheat sheets and quick references
- Interview question bank categorized by topic
08Outcomes
Target industry positions directly.
↗ 14,200+ jobs
Snowflake Data Engineer
8 - 20 LPADesign Snowflake data lakes, pipelines, and transformation tasks.
↗ 10,800+ jobs
Snowflake Engineer
8 - 18 LPADevelop and maintain warehouse virtual warehouses and sharing policy.
↗ 9,300+ jobs
ETL Developer
6 - 15 LPABuild pipelines and transform schemas using DBT and SQL.
↗ 8,100+ jobs
Cloud Data Engineer
10 - 24 LPAOrchestrate pipelines across AWS, Azure, and Snowflake.
↗ 4,700+ jobs
DataOps Engineer
9 - 20 LPAAutomate data deployments and monitor pipeline executions.
↗ 6,100+ jobs
Platform Engineer
11 - 25 LPAMaintain secure database access and partition configurations.
10 Lakh+
Tech Jobs in India
25% YoY
Growth in Hiring
09Alumni Actions
Real reviews from successful students.
★★★★★
Sagar sir brings his 15+ years of database experience into every class. We covered Snowflake query profiles, micro-partitioning, and dynamic tables in detail. Integrating DBT with Snowflake for data transformations was the highlight of this program.
★★★★★
Building Airflow DAGs to orchestrate Snowflake tasks and pipelines was very challenging but rewarding. The KSR placement team reviewed my resume multiple times and set up interview calls that matched my skills perfectly.
★★★★★
Snowflake's architecture is unique and Sagar sir made sure we understood micro-partitioning, clustering keys, and zero-copy cloning by testing them live. Building transformations with DBT was super helpful. I cleared TCS interview for a Snowflake specialist role easily.
10Career Launch
Placement networks that act actively.
200+
Hiring Partners
85%
Avg. Salary Hike
2,400+
Mentees Placed
6 wks
Avg. Time to Offer
01
Resume & Portfolio Review
ATS-friendly resume rewrite, GitHub audit, and capstone project documentation review.
02
LinkedIn & Naukri Optimisation
Profile rebuild with recruiter-targeted keywords, headline crafting, and weekly content tips.
03
Mock Interviews
Two structured mocks: one technical (live coding + system design), one HR/behavioural.
04
Recruiter Connections
Curated job openings and direct intros via our network of 200+ hiring-partner companies.
05
Soft Skills & Etiquette
Communication, client handling, and corporate-readiness coaching from senior practitioners.
06
Lifetime Alumni Access
Slack community, referral pipeline, and ongoing peer support — useful long after placement.
- Priority Enrolment Intake Status Active -
Compile execution goals securely.
Intake session opens soon.
Discuss personalized pacing trajectories, audit project module options, and verify scheduling suitability safely directly.
Enroll Now
Get a callback within 2 hours