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.

Curriculum Plan
NASSCOM AffiliatedISO 9001:2015 CertifiedStartup India Recognised
AI-Powered Snowflake Data Engineering - KSR Datavizon

Our students work at

TCSTCS
InfosysInfosys
WiproWipro
CapgeminiCapgemini
DeloitteDeloitte
IBMIBM
HCLHCL
EYEY
KPMGKPMG
PwCPwC
Tech MahindraTech Mahindra
PersistentPersistent
HexawareHexaware
LTM LimitedLTM Limited
NokiaNokia
TCSTCS
InfosysInfosys
WiproWipro
CapgeminiCapgemini
DeloitteDeloitte
IBMIBM
HCLHCL
EYEY
KPMGKPMG
PwCPwC
Tech MahindraTech Mahindra
PersistentPersistent
HexawareHexaware
LTM LimitedLTM Limited
NokiaNokia
Duration3 MonthsLive Training
ModeOnlineMentor-Led
Next Batch18th June8:00 PM IST
TrainerMr. Sagar15+ Years Industry Experience
Why Learn

Why AI-Powered Snowflake Data Engineering?

Why Choose Multi Cloud Snowflake Data Engineering Training?

Master Snowflake Data Engineering on AWS & Azure

Leverage Snowflake's unique architecture for secure storage, compute, and data sharing.

Build scalable ETL/ELT pipelines in multi-cloud environments

Connect dbt, Airflow, and Snowpark to orchestrate robust data transformation pipelines.

Work on real-time cloud data projects

Ingest live streaming data and optimize data warehouses using advanced clustering techniques.

Deploy end-to-end modern data warehouse solutions

Design, build, and deploy production-grade data lakes and warehouses from scratch.

Orchestrate data transformations with dbt

Write clean SQL queries to automate data cleaning and run validation tests.

Manage secure cloud data sharing

Set up zero-copy clones and securely share live database tables without copying storage.

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.

Database Administrators

Upgrade your on-premise DBA skills to handle modern cloud data warehouses.

About the Course

Structured, project-based learning.

Go beyond passive video playlists. Learn through mentor-guided coding sprints designed to build real-world engineering skills.

16-Week Structured Sprints

Over 16 weeks of live, mentor-led training, you will move from fundamentals to advanced concepts through hands-on project sprints.

100% Live Practice & Feedback

Sessions are 100% online and live - taught personally by industry practitioners. Every week ends with an assignment reviewed and graded by your mentor.

End-to-End Career Support

Career support continues until you land your first interview call. We help with LinkedIn & Naukri profile building, resume writing, mock interviews, and corporate etiquette.

Live Learning Session Illustration
OUTCOMES
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.

15+Years Industry
1,800+Mentees Trained
LiveOnline Sessions
4.8Trainer 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
Snowpark
Delta Lake
Apache Iceberg
AWS
Azure Data Factory
Azure Data Lake Storage
Matillion
Matillion
Curriculum Plan

Step-by-step curriculum roadmap.

Progress logically from foundational concepts to advanced, production-ready engineering skills.

01
SQL-FUNDAMENTALS
SQL Fundamentals for Data Engineering
Introduction to SQL DDL, DML, DCL, TCL Joins & Subqueries Window Functions CTE & Views Indexes & Performance Real-World SQL Use Cases
02
DATA-WAREHOUSING
Data Warehousing Concepts
What is Data Warehousing OLAP vs OLTP ETL vs ELT Fact & Dimension Tables Star & Snowflake Schemas Slowly Changing Dimensions (SCD)
03
SNOWFLAKE-CORE
Snowflake Architecture & Core Concepts
Snowflake Architecture Virtual Warehouses Databases, Schemas & Tables Stages & File Formats Time Travel & Zero Copy Cloning Fail Safe & Data Recovery
04
SNOWFLAKE-LOADING
Data Loading & Governance in Snowflake
COPY Command & Bulk Loading Snowpipe & Continuous Ingestion Handling Semi-Structured Data Unloading Data to Cloud Storage RBAC & Role Management Data Masking & Security
05
SNOWFLAKE-ADVANCED
Advanced Snowflake Features
Streams & Tasks Dynamic Tables Directory & Event Tables Performance Optimization Clustering & Micro-Partitions Query Profile & Caching
06
DBT
DBT with Snowflake
Introduction to DBT DBT Models & Materialization Jinja & Macros DBT Tests & Documentation Snapshots for SCD Deployment & Git Integration
07
PYTHON-AIRFLOW
Python & Apache Airflow
Python for Data Engineering Snowflake Connectivity with Python Apache Airflow Architecture Building DAGs Snowflake Operators End-to-End Pipeline Orchestration
08
BIGDATA-CLOUD
Big Data, Open Table Formats & Multi-Cloud
Apache Spark & PySpark Databricks Architecture Delta Lake Apache Iceberg AWS Services for Data Engineering Azure Data Factory with Snowflake End-to-End Multi-Cloud Projects
08Outcomes

Target industry positions directly.

14,200+ jobs

Snowflake Data Engineer

8 - 20 LPA

Design Snowflake data lakes, pipelines, and transformation tasks.

10,800+ jobs

Snowflake Engineer

8 - 18 LPA

Develop and maintain warehouse virtual warehouses and sharing policy.

9,300+ jobs

ETL Developer

6 - 15 LPA

Build pipelines and transform schemas using DBT and SQL.

8,100+ jobs

Cloud Data Engineer

10 - 24 LPA

Orchestrate pipelines across AWS, Azure, and Snowflake.

4,700+ jobs

DataOps Engineer

9 - 20 LPA

Automate data deployments and monitor pipeline executions.

6,100+ jobs

Platform Engineer

11 - 25 LPA

Maintain secure database access and partition configurations.

45,000+
Snowflake Cloud Data Openings
₹9 - 22 LPA
Median Snowflake Specialist Salary
28% YoY
Growth in Cloud Data Warehouse Demand
6,000+
Global Customers Active on Snowflake
Alumni Actions

Real reviews from successful students.

Join a thriving network of industry professionals. Read what our graduates say about their career transformation journey.

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 was the highlight.

R
Rahul Krishnan
Snowflake Developer · LTIMindtree
DBA to Cloud Switch

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 mock interviews.

A
Anjali Menon
Cloud Data Engineer · Cognizant
+70% Salary Hike

Snowflake's architecture is unique and Sagar sir made sure we understood zero-copy cloning by testing it live. Building transformations with dbt was super helpful.

S
Sandeep Gowda
Data Warehouse Architect · TCS
Career Transition

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 was the highlight.

R
Rahul Krishnan
Snowflake Developer · LTIMindtree
DBA to Cloud Switch

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 mock interviews.

A
Anjali Menon
Cloud Data Engineer · Cognizant
+70% Salary Hike

Snowflake's architecture is unique and Sagar sir made sure we understood zero-copy cloning by testing it live. Building transformations with dbt was super helpful.

S
Sandeep Gowda
Data Warehouse Architect · TCS
Career Transition

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 was the highlight.

R
Rahul Krishnan
Snowflake Developer · LTIMindtree
DBA to Cloud Switch

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 mock interviews.

A
Anjali Menon
Cloud Data Engineer · Cognizant
+70% Salary Hike

Snowflake's architecture is unique and Sagar sir made sure we understood zero-copy cloning by testing it live. Building transformations with dbt was super helpful.

S
Sandeep Gowda
Data Warehouse Architect · TCS
Career Transition

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 was the highlight.

R
Rahul Krishnan
Snowflake Developer · LTIMindtree
DBA to Cloud Switch

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 mock interviews.

A
Anjali Menon
Cloud Data Engineer · Cognizant
+70% Salary Hike

Snowflake's architecture is unique and Sagar sir made sure we understood zero-copy cloning by testing it live. Building transformations with dbt was super helpful.

S
Sandeep Gowda
Data Warehouse Architect · TCS
Career Transition
Career Launch

Placement networks that act actively.

Our active alumni ecosystem supports you with live workshops, direct placement updates, and mock practice panels until you get hired.

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 Enrollment Open

Secure your seat for the upcoming batch.

Talk to our team about flexible pacing, project options, and scheduling before you enroll.

Frequently Addressed Inquiries
What is the duration of this Snowflake program?
4 months of live online training, with 365 days of LMS access.
Why should I learn Snowflake for data engineering?
Snowflake is the leading cloud data warehouse. Knowing how to build ETL/ELT pipelines in Snowflake is a highly valued skill with premium market salaries.
What other technologies are covered in this course?
SQL, Python, Cloud Platforms (AWS & Azure), dbt (Data Build Tool), Airflow orchestration, and Snowflake advanced features (Snowpark, Streams, Tasks).
Do we get mock interviews on Snowflake?
Yes, we conduct mock interviews specifically focused on Snowflake architecture, query optimization, and data modeling questions.
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