Snowflake Data Engineer Training

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254 learners

Master data storage and manipulation with MindMajix’s expert-led Snowflake data engineer training. Launch your career in data engineering with our practical-focused training, interview preparation and certification exam support.

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Snowflake Data Engineer Training

Course Features

100% Money back guarantee
Two Real-time Use cases

Real-time Use cases

24/7 Lifetime Support

24/7 Lifetime Support

Certification Assistance

Certification Based Curriculum

Flexible Schedule

Flexible Schedules

One-on-onedoubtclearing

One-on-one doubt clearing

Careerpathguidance

Career path guidance

About Snowflake Data Engineer Training

MindMajix's Snowflake Data Engineer course provides learners with hands-on skills to create databases, schemas, warehouses, and tables. The training will provide you with in-depth knowledge of Snowflake architecture, roles and privileges, and query processing. You will learn how to access Snowpipe, use GET and PUT commands, and perform bulk and continuous loading. This Snowflake Data Engineer certification course will help explore various types of tables, including transient, permanent, external, temporary, Iceberg and dynamic tables.

By completing the training, you will be able to pass the SnowPro Advanced Data Engineer (DEA-C02) certification exam effortlessly.

Prerequisites

  • Basic understanding of data storage and querying concepts.

Learning Modes

  • Instructor-led live online training –  30 hours
  • On-demand training with self-paced videos – 30  hours

Lab Environment

Our MindMajix trainer will assist you in setting up a 30-day free trial of Snowflake software on your system, giving you hands-on experience.

Post-Training Support

  • In addition to technical training, we offer learners soft skills training, including interview preparation and resume-building support.
  • We provide a job search assistance program to help learners quickly secure job roles in the data engineering landscape.

Benefits of Learning Snowflake Data Engineer Training

  • For Individuals
    • More Career Opportunities
      • Snowflake states that leading brands, including Canva, JPMorgan, Apple, Honeywell, OpenAI, NYSE, and Disney, utilize Snowflake for their data engineering solutions.
      • HG Insights reports that industries including finance, telecommunications, business services, and technical services leverage Snowflake to simplify their data management.
      • The above insights demonstrate that career opportunities for Snowflake data engineers are numerous across diverse industries.
    • Snowflake Data Engineer Salary: According to AmbitionBox, Snowflake data engineers in India can earn a salary ranging from 4 LPA to 24 LPA. PayScale reports that data engineers with Snowflake skills can expect a salary range of $74,000 to $139,000 in the United States.
    • Stand out from your competitors: Snowflake data engineer training improves your hands-on experience in the best way. It will help you stand out from your competitors in the job market.
  • For organizations, offering a Snowflake data engineer course to their workforce
    • Increased performance: Snowflake data engineer training equips your IT teams to manage large volumes of concurrent workloads effortlessly. It helps businesses to accelerate their IT operations and ensure increased performance.
    • Enhanced data security: The trained Snowflake data engineers can secure your data by implementing data protection strategies effectively. They ensure that your data is safe and only authorized users can access it, thereby enhancing data security.
    • Reduced costs: Snowflake data engineer training equips them with the skills to unify data stored across multiple platforms into a single platform, thereby eliminating data silos. It helps businesses to reduce costs and make informed decisions.
Snowflake Data Engineer Training
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Course Coverage

Prepare for a career in Snowflake Data Engineer

⚡Learn & practice Snowflake Data Engineer Concepts

Demonstrate your proficiency in use cases & Lab Assignments
Learn & practice Snowflake Data Engineer Concepts

Course Completion Certificate

Earn an employer-recognized Course Completion certificate by Mindmajix.

Resume & LinkedIn Profile

Build your portfolio with personalized suggestions.

Mock Interview

Experience real-time interviews with Mindmajix SMEs

Qualify for in-demand job titles

Career support

Plan your career move with Mindmajix's job search.

Work Support

Get assistance in completing project tasks once you are employed.
Learn & practice Snowflake Data Engineer Concepts

Snowflake Data Engineer Course Content

MindMajix’s Snowflake Data Engineer course curriculum comprises the necessary course modules, ranging from basics to advanced. It helps learners gain in-demand skills required for data engineering job roles. The curriculum includes interactive classroom sessions, hands-on labs, projects, and industry use cases to provide you with heightened practical experience.
Topic-wise Content Distribution

Overview of Data Warehouse

  • What is a Data Warehouse?
  • Fact and Dimensional Tables
  • Star, Galaxy, and Snowflake Schemas
  • Limitations of Conventional Data Warehouses
  • Advantages of Cloud over on-site

Introduction to Snowflake

  • What is Snowflake?
  • Snowflake History?
  • Creating the Snowflake trail account
  • Web User Interface
  • Snowflake Editions
  • Different Roles in the Snowflake
  • Schemas, Databases, and Tables
  • Writing DML and DDL Queries

Working with Snowflake

  • Snowflake Architecture
  • Virtual Warehouse and Scalability
  • Tables, Databases, and Views
  • Snowflake Pricing
  • Roles and Privileges
  • Query Processing in Snowflake

Interface and Connectivity

  • Using the Snowflake worksheet, web console
  • Working with the Snowflake command line and SnowSQL
  • Introduction to connectors and environment for the Snowflake

SnowPipe

  • Accessing the Snowpipe
  • GET and PUT commands
  • Bulk loading from the Cloud Storage
  • Continuous Loading

SnowSQL

  • SnowSQL Configuration, Client Installation, and Account Authorization
  • DDL, DML, and Select Operations
  • SnowSQL Command Line Options
  • Snowflake SQL Query Syntax
  • Working with Schemas, Database, and Tables
  • Snowflake Variables and Batch Processing
  • Snowflake SQL Data Types and Utilization
  • DECLARE, LET, END, and BEGIN
  • EXECUTE IMMEDIATE, FOR, END FOR
  • Creating Warehouses, Databases, and Tables
  • Giving Permissions and Query Execution

Types of Tables in Snowflake

  • Transient Table
  • Permanent Table
  • External Tables
  • Temporary Tables
  • Iceberg Tables
  • Dynamic Tables

View Types

  • Secure Views
  • Standard and Materialized Views

Developing for Snowflake

  • Introduction to Programmatic Interfaces for the Snowflake
  • Introduction to programming interfaces like Python and Spark
  • Stored Procedures
  • External Functions
  • User Defined Functions

Loading the New Data Sets

  • Ingesting the Latest Data into the Snowflake tables
  • Working with several SQL data types
  • Using Snowflake best practices

Data Lakes

  • Data Lakes and External Tables
  • Partitioning for the effective queries over the external files
  • Materialized views derived from the external tables

Data Pipelines

  • Continuous data processing through tasks
  • Continuous data ingestion through Snowpipe
  • Continuous change processing using streams
  • Streaming Connectors like Kafka for Continuous Integration

AWS

  • Overview of AWS Cloud
  • AWS Services like IAM, SQS, S3, DMS, SNS, CloudWatch, RDS, etc
  • AWS and Snowflake Integration

Pipeline Transformations and Querying the Data

  • Analyze the best practices for building effective queries
  • Filtering the data examples and best practices
  • Grouping, Rollups, and sorting data and performance limitations
  • Usage and pitfalls of the joining data
  • Using Snowflake's high-performing estimation and approximation functions
  • Analytic Functions and CTEs

Features of Query Caching Performance

  • Result Set Cache
  • Query data cache
  • Metadata cache
  • Best practices for utilizing Caching for cost and performance optimization

Utilizing Data Clustering Optimization for the Advanced Query Performance Tuning

  • Identifying the proper use cases
  • Designing the Clustering Keys
  • Auto-clustering services
  • Materialized Views
  • DML Considerations
  • Search Optimization services

Snowflake Time Travel

  • Snowflake Time Travel Feature
  • Silent Audit and DML Operations
  • Continuous Data Protection Life Cycle
  • Invoking the Time Travel Feature in Snowflake
  • Timestamp, Offset, and Query ID options
  • Time Travel through the Offset feature
  • Time Travel through the Query ID Feature
  • Data Recovery through TIMESTAMP
  • Using OFFSET options in real-world
  • UNDROP and Fail-Safe Operations
  • Real-world usage of Transient Tables and Permanent Tables
  • Restrictions of Permanent Tables
  • Naming Conflicts and Identical Names

Security Management

  • Introduction to Security Management
  • Security Entities with Snowflake
  • Securable Objects, Users, and Roles
  • Privileges and Privilege Groups
  • Snowflake Security Hierarchy
  • Organization, Account, Users, Roles
  • Schemas, Tables, and DB Objects
  • Creating and Using Users and Roles
  • System Defined Roles and Utilization
  • Role Dependency and Hierarchy
  • Creating and Working with the Users
  • Auditing users and password policy
  • Roles-Based Access Control
  • Discretionary Access Control

Hands-on Snowflake Data Engineer Projects

Our Snowflake Data Engineer Training course aims to deliver quality training that covers solid fundamental knowledge on core concepts with a practical approach. Such exposure to the current industry use-cases and scenarios will help learners scale up their skills and perform real-time projects with the best practices.

    logoTraining Options

    Choose your own comfortable learning experience.

    Best Value

    On-Demand Training

    30 hrs of Self-Paced Videos

    • 30 hours of Snowflake Data Engineer Training videos
    • Curated and delivered by industry experts
    • 100% practical-oriented classes
    • Includes resources/materials
    • Latest version curriculum with covered
    • Get one year access to the LMS
    • Learn technology at your own pace
    • 24x7 learner assistance
    • Certification guidance provided
    • Post sales support by our community
    self-paced

    Get Pricing

    Preferred

    Live Online (Instructor-Led)

    30 hrs of Remote Classes in Zoom/Google meet

    2025 Batches

    Start - End

    Local Time

    Weekend

    Nov 01 - Nov 16

    07:00 PM

    Weekdays

    Nov 04 - Nov 19

    07:00 PM

    Weekend

    Nov 08 - Nov 23

    09:00 AM

    Weekdays

    Nov 11 - Nov 26

    09:00 AM

    Customize your schedule here

    + Includes Self-Paced
    • Live demonstration of the industry-ready skills.
    • Virtual instructor-led training (VILT) classes.
    • Real-time projects and certification guidance.
    online

    For Corporates

    Empower your team with new skills to Enhance their performance and productivity.

    Corporate Training

    • Customized course curriculum as per your team's specific needs
    • Training delivery through self-Paced videos, live Instructor-led training through online, on-premise at Mindmajix or your office facility
    • Resources such as slides, demos, exercises, and answer keys included
    • Complete guidance on obtaining certification
    • Complete practical demonstration and discussions on industry use cases
    Learn MoreContact us

    Served 130+ Corporates

    Corporate Clients

    Snowflake Data Engineer Certification

    Passing Snowflake Data Engineer Quizzes & Assessment exams is mandatory to attain the Snowflake Data Engineer Course Completion certificate

    • An Industry-recognized certificate by Mindmajix.
    • Shareable certificate - add to your LinkedIn profile

    Shall I appear for Snowflake Data Engineer certification exam after completion of Snowflake Data Engineer course?

    Our Snowflake Data Engineer course covers all the topics that are required to clear Snowflake Data Engineer certification. Trainer will share Snowflake Data Engineer certification guide, Snowflake Data Engineer certification sample questions, Snowflake Data Engineer certification practice questions.
    MindMajix certificate
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    Everyone from start-ups to large enterprises prefer Mindmajix
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    We appreciate the practical-based Salesforce training we received from MindMajix. The training gave our employees a deep understanding of Salesforce Development and administration concepts and the ability to apply them in their work. Now, we are ready to tackle challenging projects.

    Abhiudaya Pratyush

    Lead - Salesforce Cloud, D&IT

    Rating: 5 ⭐

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    Snowflake Data Engineer Training Resources

    Interview Questions

    Interview Questions

    Access comprehensive interview questions and answers to prepare for your next job opportunity. Practice with real-world scenarios and expert tips.

    Try it out
    Resume Templates

    Resume Templates

    Download professional resume templates tailored for industry roles. Includes sample resumes, formatting guidelines, and best practices.

    Try it out
    Practice Quiz

    Practice Quiz

    Test your knowledge with our interactive quizzes. Features multiple-choice questions, instant feedback, and detailed explanations.

    Try it out

    logoOn-Job Support Service

    Online Work Support for your on-job roles.

    jobservice
    @Learner@SME

    Our work-support plans provide precise options as per your project tasks. Whether you are a newbie or an experienced professional seeking assistance in completing project tasks, we are here with the following plans to meet your custom needs:

    • Pay Per Hour
    • Pay Per Week
    • Monthly
    Learn MoreContact us

    Snowflake Data Engineer Training FAQs

    Is it easy to learn Snowflake?

    Yes, Snowflake is easy to learn. The learning journey will be on a fast track if you have a basic understanding of data storage and querying principles.

    What are the learning outcomes of Snowflake data engineer training?

    Completing the Snowflake data engineer course equips you to:

    • Use stored procedures, external functions, and user-defined functions
    • Work with data lakes, external tables, and materialized views
    • Perform pipeline transformations and build effective queries
    • Design cluster keys, perform auto-clustering and search optimization services
    • Utilize Snowflake Time Travel, data recovery through TIMESTAMP, and use OFFSET options.
    • Perform data loading and unloading, and create ETL pipelines to facilitate data integration.

    Who is the target audience for the Snowflake data engineer online course?

    • Beginners
    • Data Analysts
    • Database Architects
    • IT and non-IT professionals seeking a career in data engineering

    What are the different job roles available for Snowflake data engineers?

    Here are the various job roles that you can apply for after the Snowflake data engineer online training.

    • Snowflake Data Engineer
    • Snowflake Data Architect
    • Snowflake Data Analytics Engineer
    • Snowflake Consultant
    • Snowflake Administrator

    What are the different Snowflake data engineering certification exams available?

    Are there any additional learning resources available with this Snowflake training for data engineers?

    Yes, you will receive the following eLearning resources in addition to the training.

    More general questions? See our FAQ ↗
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