SnowPro Advanced: Data Engineer

The SnowPro Advanced: Data Engineer certification validates expert-level skills in building, optimizing, and maintaining data pipelines on Snowflake. It covers advanced data ingestion patterns, streaming with Snowpipe and Kafka, complex transformations using Streams and Tasks, and performance tuning for large-scale data engineering workloads.

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What is the SnowPro Advanced: Data Engineer Certification?

Who Should Take This Course?

Senior Data Engineers building enterprise Snowflake pipelines
Data Platform Engineers designing ELT/ETL architectures
Cloud Architects implementing Snowflake-based data platforms
Analytics Engineers building dbt + Snowflake solutions
Data Engineers managing high-throughput streaming workloads

What You Will Learn in the DEA-C01 Course

A comprehensive curriculum covering all exam objectives with hands-on labs and real-world practice.

Advanced Data Ingestion

Build robust, scalable data loading pipelines.

Snowpipe and continuous data loading patterns
Kafka Connector for Snowflake integration
Handling schema evolution and data quality
Bulk loading optimization strategies

Streams and Tasks

Automate complex data transformation workflows.

Change Data Capture (CDC) with Streams
Task graphs and DAG-based orchestration
Task error handling and monitoring
Combining Streams and Tasks for CDC pipelines

Performance Engineering

Optimize query performance and warehouse utilization.

Clustering strategies and cluster keys selection
Search Optimization Service configuration
Materialized views and query acceleration
Multi-cluster warehouse scaling policies

Data Transformation Patterns

Implement advanced ELT patterns in Snowflake.

Dynamic tables for declarative data transformations
Stored procedures with JavaScript and Python
UDFs, UDTFs, and external functions
dbt integration with Snowflake

Monitoring and Governance

Ensure data quality, lineage, and operational health.

Snowflake Information Schema and Account Usage views
Resource monitoring and cost governance
Data quality frameworks on Snowflake
Tag-based lineage and governance

Course Prerequisites

Pre-requisites training is free when you purchase the course from ProSupport

SnowPro Core Certification (mandatory)
2+ years of data engineering experience with Snowflake
Proficiency in SQL and at least one scripting language (Python, JavaScript)
Experience with ELT pipeline design and orchestration tools

Exam Information

Everything you need to know about the DEA-C01 certification exam.

Exam Component	Details
Exam Name	SnowPro Advanced: Data Engineer
Exam Code	DEA-C01
Exam Type	Multiple Choice and Multiple Select
Total Questions	65
Passing Score	750 (out of 1000)
Exam Duration	90 minutes
Language	English
Exam Provider	Snowflake / Kryterion
Exam Focus	Advanced data ingestion, transformation, performance optimization, and CDC patterns on Snowflake
Exam Registration	Snowflake certification portal (learn.snowflake.com)
Retake Policy	No mandatory waiting period between attempts
Certification Validity	2 years