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Snowflake Data Engineering
Snowpipe • Snowpark • Streams/Tasks • Marts
Duration8–10 weeks
Projects1+
Duration
8–10 weeks
Level
Intermediate → Advanced
Mode
Online (Mentor-led)
About this program
Overview
Program snapshot
Build Snowflake pipelines with Snowpipe ingestion, Snowpark transformations, incremental processing using Streams/Tasks, and analytics-ready marts.
Prerequisites
- SQL fundamentals
- Basic Python knowledge recommended
What you will be able to do
- Implement ingestion with Snowpipe patterns
- Transform data using SQL + Snowpark
- Build incremental pipelines using Streams/Tasks
- Deliver dimensional marts and performance optimized queries
Module-by-module breakdown
Syllabus
M1Snowflake Fundamentals5 topics - 2 labsOpen module
M1Snowflake Fundamentals
5 topics - 2 labs
Topics
- Architecture overview
- Warehouses, databases, schemas
- Storage vs compute
- Security basics
- Cost awareness basics
Hands-on / Labs
- Setup environment and roles
- Create databases/schemas
M2Data Loading + Snowpipe5 topics - 2 labsOpen module
M2Data Loading + Snowpipe
5 topics - 2 labs
Topics
- Stages and file formats
- COPY patterns
- Snowpipe concepts
- Error handling patterns
- Load monitoring basics
Hands-on / Labs
- Stage + COPY pipeline
- Snowpipe simulation pattern
M3Transformations (SQL)5 topics - 2 labsOpen module
M3Transformations (SQL)
5 topics - 2 labs
Topics
- Transform layer design
- Incremental patterns overview
- Views vs tables
- Testing queries
- Data quality checks
Hands-on / Labs
- Build clean/curated tables
- Create marts and KPIs
M4Snowpark (Python) + Modular Pipelines5 topics - 2 labsOpen module
M4Snowpark (Python) + Modular Pipelines
5 topics - 2 labs
Topics
- Snowpark APIs overview
- Dataframe transformations
- UDF/UDAF overview
- Packaging patterns
- Performance considerations
Hands-on / Labs
- Snowpark transform job
- Reusable transform modules
M5Streams + Tasks (Incremental Processing)5 topics - 2 labsOpen module
M5Streams + Tasks (Incremental Processing)
5 topics - 2 labs
Topics
- Change tracking concepts
- Task scheduling
- Incremental merges
- Idempotency patterns
- Backfill strategy
Hands-on / Labs
- Streams + Tasks incremental load
- MERGE based CDC
M6Performance + Security + Release5 topics - 2 labsOpen module
M6Performance + Security + Release
5 topics - 2 labs
Topics
- Warehouse sizing concepts
- Clustering overview
- Role-based access
- CI/CD concept for SQL/Snowpark
- Deployment checklist
Hands-on / Labs
- Optimize queries and compare cost
- RBAC setup + validation
Tools & technologies covered
Tech Stack
Core Skills
2 tools
Ingestion
1 tools
Transform
1 tools
Streaming / Events
1 tools
Orchestration
1 tools
CI/CD
3 tools
Portfolio-ready work
Projects
01
Project 1: Snowpipe + Marts
Ingest raw data via Snowpipe pattern and build analytics marts.
Deliverables
- Ingestion pipeline
- Marts + KPI queries
- Documentation
Capstone
Capstone: Snowflake Incremental Platform
Build an incremental Snowflake data platform using Snowpipe, Snowpark transforms, Streams/Tasks, and marts.