Snowflake Advanced Data Engineer Certification Course

SKU: 3739
8 Lesson
|
30 Hours
Snowflake is a leading cloud data platform used for modern data engineering, and advanced data engineering skills are critical for building high-performance, scalable data pipelines. Take your expertise further by enrolling in this hands-on Snowflake Advanced Data Engineer course.

Overview

Prerequisites

  • SnowPro Core certification or equivalent Snowflake experience is recommended.
  • Hands-on experience in data engineering concepts and workflows is helpful.
  • Good knowledge of SQL is required for writing and optimizing queries.
  • Basic understanding of Python, Java, or Scala is useful for working with Snowpark.

What Will You Learn

  • Snowflake advanced architecture and storage concepts
  • Data loading using stages, COPY commands, Snowpipe
  • Continuous data ingestion pipelines
  • Streams and Tasks for automation
  • Advanced SQL optimization techniques
  • Query performance tuning
  • Warehouse sizing and cost optimization
  • Secure data sharing and governance
  • Cloning, Time Travel, Fail-safe, replication
  • Handling semi-structured data (JSON, Parquet, Avro)
  • Role-based access control and masking policies

Who should enroll

  • Data Engineers
  • ETL / ELT Developers
  • Snowflake Developers
  • BI / Analytics Engineers
  • Cloud Data Professionals
  • Database Administrators
  • Working professionals upgrading to Snowflake roles

Key Features

Course Curriculum

1. Overview of modern data ingestion architecture
2. Internal stages, external stages, file formats
3. Bulk data loading concepts
4. Best practices for scalable ingestion
1. Load bulk data using stages and COPY command
2. Configure Snowpipe for continuous data ingestion
3. Monitor and troubleshoot loading jobs
4. Optimize ingestion performance
1. Use Kafka connectors with Snowflake
2. Use Spark connectors with Snowflake
3. Third-party integration concepts
4. Secure data sharing and Marketplace usage
1. Use Query Profile to analyze slow queries
2. Identify bottlenecks in workloads
3. Improve query execution performance
4. Best practices for tuning Snowflake workloads
1. Manage warehouse sizing strategies
2. Auto suspend and auto resume optimization
3. Understand scale up and scale out strategies
4. Cost and compute optimization methods
1. Use Streams and Tasks for CDC automation
2. Build automated ELT workflows
3. Create Stored Procedures and UDFs
4. Workflow orchestration best practices
1. Learn Snowpark with Python, Java, or Scala
2. Process JSON and semi-structured data
3. Handle unstructured data workloads
4. Advanced transformation use cases
1. Learn Time Travel and Fail-safe features
2. Optimize storage with Clustering Keys
3. Understand replication and failover groups
4. Implement RBAC and role hierarchy
5. Apply masking and row access policies
6. Use tagging and data classification tools
Talk To Us

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Course Fees

Online Class Room Program

US $ 799.00
100% Money Back Guarantee
  • Duration : 30 Hrs
  • Plus Self Paced

Classes Starting From

  • Fast Track Batch 15 Jun 2026
  • Weekday Batch 15 Jun 2026
  • Weekend Batch 20 Jun 2026

Corporate Training

Corporate Training
  • Customized Training Delivery Model
  • Flexible Training Schedule Options
  • Industry Experienced Trainers
  • 24x7 Support

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Want to know Today's Offer

X

SnowPro Data Engineer Certification Exam

Certification Name

SnowPro Advanced: Data Engineer (DEA-C02)

Exam Format

  • Duration: 115 minutes
  • Number of Questions: 60 - 65
  • Type: MCQs
  • Mode: Pearson VUE
  • Validity: 2 years
  • Exam Cost: $375 USD

After completing this Snowflake Advanced Data Engineer training, you will receive a course completion certificate and be fully prepared for the SnowPro Advanced Data Engineer certification exam.

SnowPro Data Engineer Certification Exam

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