Snowflake with DBT & Airflow

Snowflake Architecture · Data Loading & Snowpipe · Time Travel · DBT Models & Testing · Airflow Operators

Master modern cloud data engineering using Snowflake with hands-on training in Snowflake architecture, data ingestion, staging, and optimization techniques. Learn how to build transformation workflows using DBT models, materializations, testing, and deployments, and orchestrate end-to-end data pipelines using Apache Airflow with practical operators. This structured, industry-oriented program is designed to help you gain real-world skills in scalable data warehousing and pipeline automation.

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Batch Details & Schedule

Choose a learning format and schedule that fits your lifestyle

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Session Time

09:00 am TO 10:30 am

Course Duration

2 months

Course Features & Highlights

Everything you need to build strong data engineering skills with Snowflake, DBT, and Airflow

Live Projects

Work on real-world projects from day one with industry use cases

Expert Trainers

Learn from industry professionals with 10+ years of experience

100% Placement Support

Dedicated placement cell with assistance until you get hired

Industry Certification

Get certified and boost your resume with recognized credentials

LMS Access

Access to learning materials and recorded sessions

Mock Interviews

Weekly mock interviews to prepare you for real job scenarios

Resume Building

Professional resume preparation and LinkedIn profile optimization

Soft Skills Training

Communication, aptitude, and personality development sessions

Additional Benefits

●   Pay After Placement Options Available

●   Flexible Payment Plans

●   6-12 Months LMS Access

●   Doubt Clearing Sessions

●   24/7 Learning Support

●   Mega Job Drives

Your Path to Mastery

Comprehensive training designed to accelerate your career

Exclusive Training

1.5-3 hrs/day

Best for: Beginners & learners

Prerequisites & Eligibility

Everything you need to know before enrolling in our program

  • Commitment to complete the program within the defined duration

  • Suitable for freshers, working professionals, and career transition aspirants interested in data engineering

  • Basic understanding of databases, SQL, or data concepts is beneficial

  • Willingness to work on hands-on data engineering exercises and real-world use cases

Special Note: Trainers and academic counselors provide structured guidance to help you learn Snowflake, DBT, and Airflow effectively, with career-oriented support available across different program options.

Complete Course Curriculum

Comprehensive modules covering modern cloud data engineering with Snowflake, DBT, and Airflow

 
Snowflake Fundamentals & Architecture
  • Snowflake history and platform overview
  • Snowflake architecture (Services, Compute, Storage layers)
  • Snowflake account registration and environment setup
  • SnowSQL and configuration file setup
  • Virtual warehouses and compute layer concepts
  • Types of staging (Internal & External stages)
  • Internal stages (User, Table, Named stages)
  • Loading data into different stages
  • Loading multiple files using folders and regular expressions
  • Listing and managing Snowflake stages
  • Snowflake-managed internal stages
  • External stage concepts and use cases
  • AWS S3 integration with Snowflake
  • AWS console overview
  • Creating buckets, users, roles, and policies
  • Uploading files and listing external stage data
  • External storage integration fundamentals
  • COPY INTO command options
  • Loading single and multiple files into tables
  • Table creation and table types
  • Table design considerations
  • Data retention policy concepts
  • Snowpipe architecture and workflow
  • AWS-based Snowpipe setup
  • IAM roles and S3 policy assignments
  • Event configuration and notifications
  • Snowpipe integration with Azure and Google Cloud
  • Time Travel concepts and lifecycle
  • Time Travel SQL extensions and parameters
  • Retrieving historical data
  • Table, schema, and database cloning
  • Fail-safe overview
  • Querying storage usage for Time Travel and Fail-Safe
  • Streams and change data capture
  • Stream metadata columns
  • Insert, update, delete operations using streams
  • Task concepts and scheduling
  • Standalone and dependent tasks
  • Parent-child task execution order
  • Snowflake caching mechanisms
  • Types of cache
  • Clustering concepts
  • Performance considerations
  • Data sharing fundamentals
  • Reader accounts
  • Inbound and outbound shares
  • Sharing data with external Snowflake accounts
  • Snowflake marketplace overview
  • Predefined Snowflake roles
  • Custom role creation
  • User and role management
  • Privileges and access control
  • User-defined functions
  • Stored procedures
  • Materialized views
  • Refreshing materialized views
  • External tables
  • Querying JSON data
  • DBT introduction and setup
  • DBT project structure
  • Models and materializations
  • View, table, incremental, and ephemeral models
  • Macros and hooks
  • Snapshots, seeds, sources, analyses, and exposures
  • Testing (generic, custom, and singular)
  • Deployment workflows
  • Apache Airflow overview
  • Environment setup
  • DAG fundamentals
  • Python operator
  • Bash operator
  • Orchestrating Snowflake pipelines

6 Comprehensive Data Engineering Modules

4 to 6 Months of Structured, Hands-On Training

Why Choose Quality Thought

Your success is our priority. Here’s what makes us the best choice for your career growth

16+

Years Experience

10,000+

Students Trained

500+

Hiring Partners

95%

Placement Rate

15+ Years of Excellence

Established training institute with proven track record of producing industry-ready professionals

Expert Faculty

Learn from trainers with 10+ years of real-world industry experience in leading tech companies

100% Placement Assistance

Dedicated placement cell with tie-ups with 500+ companies. We support you until you get hired

Comprehensive Curriculum

Updated syllabus covering latest technologies and industry best practices with hands-on projects

Career Growth Focus

Not just training, but complete career transformation with soft skills and interview preparation

Pay After Placement

Flexible payment options including pay after placement for eligible candidates

Flexible Batches

Multiple batch timings to suit working professionals, students, and freshers

Live Project Experience

Work on real client projects during internship at Ramana Soft IT company

We provide innovative placement solutions with direct access to hiring companies, paid internship programs, and comprehensive training that transforms freshers into job-ready professionals. Our proven methodology has helped thousands launch successful tech careers.

Certification

Get industry-recognized certification that validates your skills and boosts your career prospects

Certificate of Completion

Snowflake with DBT & Airflow

This certifies that

[Your Name]

has successfully completed the

Snowflake with DBT & Airflow

Data Engineering Training Program

Quality Thought

Ameerpet, Hyderabad

Certificate ID

QT-2026-XXXX

Industry Recognition

Our certificates are recognized by leading companies and add credibility to your resume

Skill Validation

Validates hands-on expertise in Snowflake data warehousing, DBT transformations, and Airflow pipeline orchestration.

Career Advancement

Increases your chances of getting hired and helps in salary negotiations

Digital & Physical

Get both digital certificate for online sharing and physical certificate for framing

Course Certificate

Upon successful completion of training program

Internship Certificate

For I&I program from Ramana Soft IT Company

Project Certificate

For major projects completed during training

Frequently Asked Questions

Find answers to common questions about our IBM QRadar SIEM training program

As a Snowflake data engineer, you will learn data modeling, Snowflake architecture, SQL optimization, data loading, transformation, performance tuning, security, and real-time data processing.

Snowflake in data engineering is used for data warehousing, ELT pipelines, analytics, and reporting. It integrates with tools like Spark, Kafka, and cloud storage to build end-to-end data solutions.

Yes. The course includes real-time projects on data engineering with Snowflake, covering data ingestion, transformation, analytics, and integration with cloud platforms.

Yes. Quality Thought offers placement assistance, resume building, mock interviews, and job updates for data engineer with Snowflake and Snowflake engineer roles across India.

Ready to Start Your Career in Data Engineering

Build practical expertise in Snowflake, DBT, and Airflow through real-time training, hands-on projects, and end-to-end data pipeline use cases aligned with industry requirements.

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