Prebuilt Projects2Jobs roadmap
Data Warehouse Engineer Roadmap
Build hiring proof for Data Warehouse Engineer roles: data modeling, performance, and reliable storage operations.
Data Warehouse Engineer candidates and career switchers targeting Database / Storage roles.
Timeline
8 weeks
Level
Intermediate
Final outcome
A Data Warehouse Engineer portfolio with shipped projects, public GitHub proof, resume bullets, and interview talking points.
Skills to prove
SQL
Postgres or MySQL
Indexing & query plans
Backup & recovery
Replication
Performance tuning
Portfolio projects
- Schema design case study with migrations and constraints
- Query optimization writeup with before-and-after plans
- Backup, restore, and failover lab with documented drills
Prebuilt build path
Follow these phases in order. Each one ends with a portfolio artifact you can show in GitHub, on your resume, or in interviews.
Step 1
Weeks 1-2
Model and load real data
Show schema judgment under realistic volume.
- Design a normalized schema with constraints, then load realistic data volume.
- Write migrations and document the modeling tradeoffs.
Deliverable: A schema design package with seeded data.
Step 2
Weeks 3-6
Tune and operate it
Prove you can keep a database fast and safe.
- Find and fix slow queries using EXPLAIN, indexes, and query rewrites.
- Run backup, restore, and failover drills and write runbooks.
Deliverable: A performance and operations case study with measurements.
Step 3
Weeks 7-8
Package the proof for hiring
Turn the work into evidence recruiters and interviewers can verify quickly.
- Polish each repo README with screenshots, setup steps, architecture notes, and tradeoffs.
- Write resume bullets and interview talking points that map each project to Data Warehouse Engineer job requirements.
Deliverable: Public GitHub proof, an updated resume, and interview-ready project stories.
Make it personal
Projects2Jobs compares this roadmap to your resume, current skills, and existing projects, then generates a role-specific build plan.
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