Data Engineering with Snowflake Training & Certification Course (72 Hours Master Program)

Data Engineering with Snowflake Training: The Data Engineering with Snowflake Training programme by SkilBrill is a comprehensive 12-week (72-hour) hands-on program covering Data Engineering with Snowflake Training. Available in classroom (Chennai Thoraipakkam), live online, and hybrid modes across India.

Total Duration12 Wks (72 Hours)
Training ModesClassroom / Online
CertificationsSkilBrill Certificate
Key StackData Engineering with Snowflake Training
PrerequisitesBasic IT. No coding required
Placement200+ Hiring Partners

Who Should Join?

Build job-ready Data Engineering with Snowflake Training skills with live labs, projects, and placement support.

  • ✓Working professionals: Upskilling into Data Engineering with Snowflake Training with production-style labs.
  • ✓Fresh graduates: CS and IT graduates aiming for Data Engineering with Snowflake Training roles.
  • ✓Career switchers: Moving from adjacent IT roles into this stack.
  • ✓Consultants: Adding Data Engineering with Snowflake Training to client delivery skills.
Fee: ₹15,000 – ₹75,000100% Practical Labs
72-Hour Syllabus

12-Module Data Engineering with Snowflake Curriculum

Data Engineering with Snowflake Training is a 12-week (72-hour) SkilBrill programme covering Data Engineering with Snowflake Training. Delivery is classroom, live online and hybrid. The 12 modules below are the full syllabus — about 6 hours each, with labs. Completing them prepares you for SkilBrill Certificate and placement support.

1
Capstone

M1: M1 — Snowflake Recap and Project Setup

Snowflake architecture refresher, Account setup and trial, SnowSQL and Snowpark CLI

2
Foundations

M2: M2 — Snowpipe and Continuous Ingestion

Snowpipe architecture, Auto-ingest and Kafka connector, Snowpipe Streaming

3
Foundations

M3: M3 — Medallion with dbt

Bronze, silver and gold, dbt models and snapshots, Incremental and merge strategies

4
Core Skills

M4: M4 — Streams and Tasks for CDC

Streams at table level, Task DAGs and CRON, MERGE-driven incremental loads

5
Core Skills

M5: M5 — Streaming with Kafka and Snowpipe Streaming

Kafka topic design, Kafka connector configuration, Schema evolution

6
Platform

M6: M6 — Orchestration with Apache Airflow

Airflow DAGs and sensors, SnowflakeOperator, Backfills and SLAs

7
Platform

M7: M7 — Snowpark for Python and Java

DataFrame API, Stored procedures with Snowpark, UDFs and UDTFs

8
Governance

M8: M8 — Data Quality and Observability

dbt tests, Soda and Great Expectations, Freshness and volume checks

9
Governance

M9: M9 — Cost Optimisation and FinOps

Warehouse right-sizing, Resource monitors, Auto-suspend tuning

10
Advanced

M10: M10 — CI/CD and IaC for Snowflake

Terraform Snowflake provider, GitHub Actions pipelines, dbt Cloud and dbt Core

11
Advanced

M11: M11 — Security and Sharing

Row-access and masking policies, Secure views and data sharing, Marketplace listings

12
Capstone

M12: M12 — Capstone and SnowPro Advanced Mocks

End-to-end medallion pipeline, Cost and quality review, SnowPro Advanced mocks

Frequently Asked Questions

Data Engineering with Snowflake Training at SkilBrill is a live programme with labs, a completion certificate and placement support. The questions below cover eligibility, duration, tools, projects and how to enrol.

What is Data Engineering with Snowflake Training at SkilBrill?

A 12-week (72-hour) SnowPro Advanced mapped programme covering Snowpipe, Streams, dbt, Airflow, observability and cost optimisation on Snowflake.

Who should take this course?

Data engineers building production pipelines, analytics engineers adopting dbt, platform engineers and SnowPro Core holders advancing to SnowPro Advanced.

Do I need prior Snowflake experience?

SQL and Python fundamentals. Snowflake basics are taught from scratch where needed.

Does this prepare me for SnowPro Advanced?

Yes. SnowPro Advanced – Data Engineer is mapped with dedicated mocks.

Which tools are covered?

Snowflake, Snowpipe, dbt, Apache Airflow, Apache Kafka, Snowpark and Streamlit in Snowflake.

Is the training online or classroom?

Both, plus hybrid. Classroom is at SkilBrill Thoraipakkam, Chennai 600097.

What is the salary outlook?

Snowflake data engineers earn ₹6 – 18 LPA. Call +91 8610964691.

How do I enrol?

Call +91 8610964691 or WhatsApp 918610964691.

How long is the Data Engineering with Snowflake Training course at SkilBrill?

SkilBrill's Data Engineering with Snowflake Training programme runs for 12 weeks with 3 sessions per week (2 hours each), totalling 72 classroom hours across 12 modules. Weekday, weekend and evening batches are available.

Why should I learn Data Engineering with Snowflake Training at SkilBrill?

SkilBrill Training Institute in Thoraipakkam, Chennai delivers Data Engineering with Snowflake Training with working-professional trainers, production-style labs and placement support. The programme is 12 weeks (72 classroom hours) with weekday, weekend and evening batches in classroom, live online and hybrid modes.

Does SkilBrill provide placement support after Data Engineering with Snowflake Training?

Yes. Eligible SkilBrill learners receive resume building, LinkedIn optimisation, Data Engineering with Snowflake Training mock interviews, project explanation practice and placement assistance with 200+ hiring partners. Call +91 8610964691 for the current process.

How do I enroll in Data Engineering with Snowflake Training at SkilBrill?

Use the Enroll form on this page, call +91 8610964691, or WhatsApp 918610964691. Share your name, email and preferred mode (online, classroom or one-to-one) and a counsellor will confirm the next Data Engineering with Snowflake Training batch. Fees currently range ₹15,000 – ₹75,000.

Where is SkilBrill Training Institute located?

SkilBrill is at No. 22, 200 Feet Radial Road, Thoraipakkam, Chennai 600097, on the OMR IT corridor, about five minutes from Thoraipakkam Metro. Classroom batches for Data Engineering with Snowflake Training run here; online learners join the same faculty remotely.

SkilBrill's Training programmes also include IAM Training, SailPoint Training, Azure Data Engineering Training and SOC Training.

Data Engineering with Snowflake Training

Categories: Data Engineering

About Course

About Data Engineering with Snowflake Training

End-to-end Snowflake data engineering: Snowpipe, Streams & Tasks, dbt, Airflow, observability and cost tuning.

12-week Data Engineering with Snowflake Training: Snowpipe, Streams, dbt, Airflow, observability, cost tuning. Live labs + placement.

Course Overview

12-week Data Engineering with Snowflake Training: Snowpipe, Streams, dbt, Airflow, observability, cost tuning. Live labs + placement.

Why Learn Data Engineering with Snowflake Training

Indian GCC, SI and product teams actively hire data engineering professionals who can deliver from day one. This programme builds both the certification spine and the production scenarios hiring screens look for.

Who Should Join This Course

  • Data engineers — Building production Snowflake pipelines.
  • Analytics engineers — Adopting dbt and Snowpark patterns.
  • Platform engineers — Operationalising Snowflake with Airflow.
  • SnowPro Core holders — Advancing to SnowPro Advanced.

Prerequisites

SQL and Python fundamentals. Snowflake basics helpful but taught from scratch.

Learning Objectives

  • Build Snowpipe Streaming pipelines
  • Model medallion architectures with dbt
  • Orchestrate pipelines with Apache Airflow
  • Stream changes with Streams and Tasks
  • Monitor cost, performance and freshness
  • Pass SnowPro Advanced mapped mocks

Tools and Technologies

Snowflake, Snowpipe, dbt, Apache Airflow, Apache Kafka, Snowpark, Streamlit in Snowflake.

Career Opportunities After This Programme

  • Data Engineer
  • Analytics Engineer
  • Big Data Engineer
  • Cloud Data Engineer
  • Lakehouse Architect

Hands-on Labs and Capstone

Capstone: Build an end-to-end medallion pipeline on Snowflake: ingest Kafka CDC via Snowpipe Streaming into bronze, transform with dbt into silver and gold, orchestrate Airflow DAGs, monitor freshness and cost, and ship a Streamlit in Snowflake app for stakeholders.

Production scenario: A nightly Airflow DAG misses the SLA. Switch to Snowpipe Streaming, redesign tasks as a DAG with explicit retries and parent-child dependencies, add freshness checks via dbt tests and add a PagerDuty alert.

Course Duration, Mode and Certification

The course runs for 12 weeks (72 hours). Modes: Classroom / Live Online / Hybrid. Certifications mapped: SnowPro Advanced – Data Engineer (mapped), SkilBrill Certificate.

Why Train at SkilBrill

SkilBrill Training Institute in Thoraipakkam, Chennai focuses on making you employable. Trainers are working professionals, practice mirrors real job environments, and the placement cell connects eligible candidates with hiring companies. Fee: ₹45,000 – ₹75,000. Enquire on +91 8610964691.

Career and Job Support

  • Resume assistance tailored to Data Engineering roles
  • LinkedIn profile rewrite and recruiter outreach
  • Mock interviews with production failure scenarios
  • Capstone project explanation preparation
  • Placement assistance with 200+ hiring partners
  • Typical salary band after completion: ₹6 – 18 LPA

Frequently Asked Questions

What is Data Engineering with Snowflake Training at SkilBrill?

A 12-week (72-hour) SnowPro Advanced mapped programme covering Snowpipe, Streams, dbt, Airflow, observability and cost optimisation on Snowflake.

Who should take this course?

Data engineers building production pipelines, analytics engineers adopting dbt, platform engineers and SnowPro Core holders advancing to SnowPro Advanced.

Do I need prior Snowflake experience?

SQL and Python fundamentals. Snowflake basics are taught from scratch where needed.

Does this prepare me for SnowPro Advanced?

Yes. SnowPro Advanced – Data Engineer is mapped with dedicated mocks.

Which tools are covered?

Snowflake, Snowpipe, dbt, Apache Airflow, Apache Kafka, Snowpark and Streamlit in Snowflake.

Is the training online or classroom?

Both, plus hybrid. Classroom is at SkilBrill Thoraipakkam, Chennai 600097.

What is the salary outlook?

Snowflake data engineers earn ₹6 – 18 LPA. Call +91 8610964691.

How do I enrol?

Call +91 8610964691 or WhatsApp 918610964691.

Related Courses

Data Engineering with Snowflake Training Locations

Quick Facts

Total Duration12 weeks (72 hours)
Training ModesClassroom / Live Online / Hybrid
CertificationsSnowPro Advanced – Data Engineer (mapped), SkilBrill Certificate
Key StackSnowflake, Snowpipe, dbt, Apache Airflow, Apache Kafka, Snowpark, Streamlit in Snowflake
PrerequisitesSQL and Python fundamentals. Snowflake basics helpful but taught from scratch.
Fee₹45,000 – ₹75,000 (INR)
Placement200+ Hiring Partners
Typical Salary₹6 – 18 LPA

Summary

SkilBrill’s Data Engineering with Snowflake Training is a 12 weeks, 72-hour job-oriented programme covering Snowflake, Snowpipe, dbt with placement support. Classroom, live online and hybrid modes. Call +91 8610964691 to enrol.

Real-World Projects

Capstone Project

Build an end-to-end medallion pipeline on Snowflake: ingest Kafka CDC via Snowpipe Streaming into bronze, transform with dbt into silver and gold, orchestrate Airflow DAGs, monitor freshness and cost, and ship a Streamlit in Snowflake app for stakeholders.

Production Scenario

A nightly Airflow DAG misses the SLA. Switch to Snowpipe Streaming, redesign tasks as a DAG with explicit retries and parent-child dependencies, add freshness checks via dbt tests and add a PagerDuty alert.

Data Engineering with Snowflake Training locations

Enroll in Data Engineering with Snowflake Training

Fee: ₹45,000 – ₹75,000. Call +91 8610964691 or WhatsApp.

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What Will You Learn?

  • Build Snowpipe Streaming pipelines
  • Model medallion architectures with dbt
  • Orchestrate pipelines with Apache Airflow
  • Stream changes with Streams and Tasks
  • Monitor cost, performance and freshness
  • Pass SnowPro Advanced mapped mocks

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