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Snowflake Data Engineer Training & Certification Course

Boost your career with our Snowflake Data Engineer Training & Certification Course. Learn to manage, store, and analyze data on Snowflake's cloud-based platform. Master key concepts like Data Warehousing, SnowSQL, data sharing, and security. Engage in hands-on projects to gain practical experience. Get certified to demonstrate your expertise in Snowflake's cutting-edge technology, and unlock new career opportunities in the rapidly growing data engineering field. Enroll now and elevate your skills to new heights.

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Instructor-led Training Live Online Classes

Suitable batches for you

03 Jun 2023 24 06:00 PM - 09:00 PM Sat, Sun
10 Jun 2023 24 06:00 PM - 09:00 PM Sat, Sun
17 Jun 2023 24 06:00 PM - 09:00 PM Sat, Sun
24 Jun 2023 24 06:00 PM - 09:00 PM Sat, Sun

Course Price At

$ 450

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Instructor-led Training Live Online Classes

03 Jun 2023 24 06:00 PM - 09:00 PM Sat, Sun
10 Jun 2023 24 06:00 PM - 09:00 PM Sat, Sun
17 Jun 2023 24 06:00 PM - 09:00 PM Sat, Sun
24 Jun 2023 24 06:00 PM - 09:00 PM Sat, Sun

Course Price At

$ 450

Enroll Now
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Online Self Learning Courses are designed for self-directed training, allowing participants to begin at their convenience with structured training and review exercises to reinforce learning. You’ll learn through videos, PPTs and complete assignments, projects and other activities designed to enhance learning outcomes, all at times that are most convenient to you.

Course Price At

$ 450

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Instructor-Led Online Training Parameters

Course Highlights

  • Duration: 24 Hrs.
  • Subject Matter Expert
  • After Training Support
  • Lifetime E-Learning Access
  • Recorded Sessions
  • Free Online Assessments
Snowflake Data Engineer Training Course Syllabus

Curriculum Designed by Experts


The Snowflake Data Engineer training offered by Multisoft Virtual Academy is designed to provide learners with the skills and knowledge required to work with Snowflake, a cloud-based data warehousing platform. The course covers various topics such as Snowflake architecture, SQL commands, and database design.

  • Overview of Snowflake
  • Cloud Data Warehousing Fundamentals
  • Snowflake's Unique Architecture

  • Snowflake Data Model Overview
  • Designing Star and Snowflake Schemas
  • Normalization and Denormalization
  • Handling Slowly Changing Dimensions

  • Creating and Managing Databases and Schemas
  • Creating and Managing Tables
  • Working with Data Types and Constraints
  • Creating and Using Views

  • Writing Basic SQL Queries
  • Advanced SQL Functions and Operators
  • Aggregations and Window Functions
  • Common Table Expressions (CTEs) and Subqueries

  • Data Loading Techniques
  • Using Snowpipe for Bulk Data Ingestion
  • Data Unloading and Exporting
  • Data Format and Transformation Considerations

  • Query Optimization Techniques
  • Understanding Snowflake's Virtual Warehouses
  • Caching and Materialized Views
  • Monitoring and Troubleshooting Performance Issues

  • Role-Based Access Control (RBAC)
  • Managing Users and Roles
  • Data Encryption and Security Best Practices
  • Auditing and Monitoring in Snowflake

  • Snowflake Connectors and Integrations
  • Using Snowflake with ETL/ELT Tools
  • Real-time Data Integration Techniques
  • Data Streaming and Change Data Capture

  • Time Travel and Zero-Copy Cloning
  • Data Sharing and Data Marketplace
  • Snowflake and Machine Learning
  • Snowflake's Semi-Structured Data Support

  • Practical Assignments and Projects
  • Case Studies from Different Industries
  • Tips and Tricks for Working with Snowflake

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Snowflake Data Engineer Training Description

Here is a brief overview of the topics covered in the course:

  1. Introduction to Snowflake: This section covers the basics of the Snowflake Data Cloud, its architecture, and how it differs from traditional data warehousing solutions.
  2. Snowflake Data Modeling: In this section, participants will learn how to design and implement Snowflake data models using various modeling techniques such as dimensional modeling, normalized modeling, and hybrid modeling.
  3. Snowflake Data Ingestion: This section covers different methods for ingesting data into Snowflake, such as bulk loading, continuous data ingestion, and data replication.
  4. Snowflake Transformation: Participants will learn how to transform data using Snowflake's built-in functions and features, as well as how to use external tools like Apache Spark and AWS Glue for data transformation.
  5. Snowflake Data Loading: This section covers different data loading techniques, such as bulk

The target audience for Snowflake Data Engineer course typically includes:

  1. Data Engineers: Professionals responsible for building and managing data pipelines, data processing, and data integration in their organizations.
  2. Data Analysts: Professionals responsible for querying and analyzing data using SQL and other programming languages.
  3. Business Intelligence Developers: Professionals responsible for building and maintaining dashboards and reports using BI tools like Tableau, Power BI, and Looker.
  4. Data Architects: Professionals responsible for designing and implementing data architectures and solutions for their organizations.
  5. Cloud Architects: Professionals responsible for designing and managing cloud infrastructure, including storage, compute, and networking, for their organizations.
  6. IT Professionals: Professionals responsible for managing and supporting IT systems, including databases and data warehouses, in their organizations.

  1. Basic understanding of SQL: Familiarity with SQL syntax and basic query operations will be helpful in grasping Snowflake's SQL language and working with data within the platform.

  2. Knowledge of traditional data warehousing concepts: Understanding the fundamentals of data warehousing, such as star schema, snowflake schema, and ETL (Extract, Transform, Load) processes, will provide a solid foundation for learning Snowflake's cloud-based data warehousing platform.

  3. Familiarity with cloud computing concepts: Basic knowledge of cloud computing, including concepts like Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS), can help participants better comprehend the advantages and architecture of Snowflake's cloud-based solution.

  4. General programming or scripting experience: While not mandatory, having experience with programming or scripting languages, such as Python or JavaScript, can be beneficial when working with Snowflake's connectors and integrating with third-party tools.

Snowflake Data Engineer Training Certification

Multisoft Virtual Academy provides a globally recognized training certificate to the participants, after successful completion of a training program. The training certificates are recognized and accepted across the world.

Multisoft Virtual Academy's training certificate comes with lifetime validity.

Aspirants can directly enroll for the desired course from the Book Now Button in the course page. You can also connect on Whatsapp at +91 8130666206 to talk with a training advisor. Multisoft Virtual Academy also offers customized training programs on a wide range of domains and skills.

All training programs offered by Multisoft Virtual Academy are delivered by certified industry experts, who have years of experience in the relevant domains. Multisoft Global Subject Matter Experts impart knowledge on a wide variety of training courses through one –on-one and corporate training sessions.

Multisoft Virtual Academy training certification can help participants stand out in the competitive job market. Since the training certificates are internationally accepted, participants can showcase their skills and knowledge to employers across the world.

Snowflake Data Engineer Corporate Training Certification

Interactive Virtual Training

Interactive Virtual Training

  • Global Subject Matter Experts
  • Step-by –Step Learning Approach
  • Instant Doubt Clearing
Lifetime Access

Lifetime Access

  • Lifetime E-learning Access
  • Recorded Training Session Videos
  • Free Access to Practice Tests
24x7 Assistance

24x7 Assistance

  • Help Desk Support
  • Doubt Resolution in Real-time
  • After Training Support
Hands on Experience

Hands on Experience

  • Project Based Learning
  • Learning based on real-life examples
  • Assignments and Practice Tests
Globally Recognized Training Certificate

Globally Recognized Certificate

  • Multisoft Training Certificate
  • Globally Recognized and Accepted
  • Lifetime Validity

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Snowflake Data Engineer Training FAQ's

The Snowflake Data Engineer Course is a comprehensive training program designed to equip learners with the necessary skills and knowledge required to work as data engineers on the Snowflake Data Cloud platform. The course covers various aspects of data engineering, including data warehousing, data integration, data modeling, and data pipeline development using Snowflake.

This course is suitable for data engineers, data analysts, database administrators, data scientists, and other professionals looking to expand their knowledge and skills in data engineering using the Snowflake platform. It is also suitable for beginners who wish to start a career in data engineering.

While there are no strict prerequisites, having a basic understanding of SQL, relational databases, and data warehousing concepts will be helpful. Familiarity with any programming language, particularly Python, is also beneficial but not mandatory.

Upon completing the course, you will be able to:

  • Understand the Snowflake architecture and components
  • Set up and manage Snowflake accounts, roles, and warehouses
  • Load and unload data using Snowflake's data ingestion tools
  • Implement data modeling and design techniques in Snowflake
  • Build and optimize data pipelines using Snowflake tasks, streams, and stored procedures
  • Integrate Snowflake with various data integration tools and platforms
  • Secure and monitor your Snowflake environment

The course duration varies depending on the chosen learning mode and the learner's commitment. On average, it takes about 6 to 12 weeks to complete the course when dedicating a few hours per week.

Yes, the Snowflake Data Engineer Course is available both online and offline. Online courses are offered through various platforms, with a combination of video lectures, hands-on exercises, and interactive quizzes. Some providers also offer instructor-led live sessions.

Yes, some course providers offer a certification upon successful completion of the Snowflake Data Engineer Course. Additionally, Snowflake itself offers the SnowPro Data Engineer certification, which is a recognized industry credential.

The cost of the course varies depending on the provider, course format, and additional resources offered. On average, the course fee can range from $300 to $1,000 for online self-paced courses, while instructor-led courses may have higher fees.

After completing the Snowflake Data Engineer Course, you will be qualified for various data engineering roles, such as Snowflake Data Engineer, Data Warehouse Engineer, Data Integration Engineer, and Data Architect. You can find job opportunities in a wide range of industries that rely on data-driven decision-making.

Most course providers offer support through online forums, chat, or email. Additionally, some providers also offer one-on-one mentoring sessions or access to a community of learners and experts for peer-to-peer learning and support.

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