Data and AI

Data Warehousing with Snowflake and BigQuery

Understand and work with the two most widely-required cloud data warehouse platforms in real data engineering job postings

18h4 lessonsTier 2 hireabilityTier 2 certificate

What you'll be able to do

You can load and query data in both Snowflake and BigQuery, understand each platform's genuine architecture and cost model, and apply partitioning/clustering strategies to keep queries fast and costs controlled at scale.

Job titles this qualifies you for

Data EngineerAnalytics EngineerData Platform Engineer
Market intelligence
Demand
High
Remote
72% remote roles
Nigeria salary
Not a primary local hiring category
Remote (USD)
$114,500–$137,500/year for the typical remote mid-level range (25th-75th percentile); average around $130,000-$148,000/year; senior remote data engineers average $191,822/year

Lessons

Stage 1 — Foundation
1
Cloud Data Warehouse Architecture Fundamentals
35 min
2
Loading and Querying Data in Both Platforms
40 min
Stage 2 — Applied
1
Understanding Cost Models and Controlling Spend
35 min
2
Choosing Between Platforms and Real Migration Considerations
30 min
Tier 2 Proof Submission

Data Warehousing Portfolio

Demonstrate genuine architectural understanding, loading/querying practice, cost-model awareness, and platform-choice judgement across Snowflake and BigQuery.

1.An explanation of storage/compute separation and columnar storage benefits
2.A Snowpipe-versus-batch and streaming-versus-batch loading explanation
3.An auto-suspend and partitioning cost-reduction explanation
4.Two contrasting platform-choice scenarios with reasoning
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