Requirements
- Comfortable with basic SQL (joins, group by, window basics)
- Basic Python is helpful (not mandatory)
- Familiarity with CSV/JSON files and simple data concepts
- Laptop + stable internet (for online sessions)
Features
- Live Project-Based Training
- Expert-Led Sessions
- Flexible Learning Options
- Interactive Learning
- Smart Labs with Advanced Equipment
- Unlimited Lab Access
- Comprehensive Study Material
- Globally Recognized Certification
Target audiences
- Freshers aiming for data engineering roles
- SQL/ETL developers moving to cloud data platforms
- Data analysts/BI folks shifting toward pipeline ownership
- Backend developers and DBAs transitioning to analytics engineering
- Working professionals who want Snowflake project experience
If you’re building pipelines, cleaning messy files, or trying to make dashboards faster, Snowflake Data Engineer Training helps you do it the “real project” way—clean ingestion, reliable transformations, and cost-aware performance. At Ascents Learning, we focus on the workflows you’ll actually use on the job: loading with stages and COPY INTO, automating with Snowpipe, handling JSON with VARIANT/FLATTEN, and building incremental pipelines with Streams & Tasks.
This Snowflake Data Engineer Training is hands-on from day one. You’ll work on practical datasets (sales, clickstream, logs), design schemas for analytics, and debug slow queries using the Snowflake query profile. We also cover governance topics that hiring teams ask about—RBAC, secure views, masking policies, and resource monitors—so you can talk confidently in interviews.
By the end of the Snowflake Data Engineer Training, you’ll have a portfolio-ready capstone and a clear idea of how to deliver production-style data pipelines, not just run SQL demos. If you want a course that connects Snowflake features to real delivery work, Ascents Learning is built for that.
Curriculum
- 15 Sections
- 0 Lessons
- 10 Weeks
- Module 1: Data Engineering Basics0
- Module 2: Snowflake Setup & Core Objects0
- Module 3: Data Loading I (Stages + COPY INTO)0
- Module 4: Data Loading II (Snowpipe + Ingestion Patterns)0
- Module 5: Semi-Structured Data (JSON, VARIANT, FLATTEN)0
- Module 6: Snowflake SQL for Engineering Work0
- Module 7: Transformation Design (ELT Patterns)0
- Module 8: Streams (CDC and Change Tracking)0
- Module 9: Tasks (Scheduling + Orchestration)0
- Module 10: Performance Tuning & Query Debugging0
- Module 11: Time Travel, Fail-safe, Cloning0
- Module 12: Security & RBAC (Job Interview Topics)0
- Module 13: Governance (Masking + Row Access + Secure Views)0
- Module 14: Cost Control & Production Hygiene0
- Module 15: Capstone Project + Interview Prep0