Data Warehouse Engineer
Build centralized data repositories for analytics.
- ₹7–15 LPAEntry salary
- ₹18–38 LPASenior / Lead
- HighDemand outlook
01 · Role overview
What does this role do?
Data Warehouse Engineers design ETL processes and dimensional models.
Dimensional Modeling
Star / Snowflake schema.
ETL Development
Build robust data pipelines.
02 · Skills
Skills required
SQLETL ToolsSnowflakeRedshiftSSIS
03 · Market
Career overview
- Build centralized data repositories for analytics.
- Best suited for people who enjoy SQL, ETL Tools, and Snowflake and want to build solutions that create visible impact in real teams.
- Typical work includes star / snowflake schema and build robust data pipelines.
- Demand is High in India, with entry salaries around ₹7–15 LPA and experienced Data Warehouse Engineer roles often reaching ₹18–38 LPA.
- Hiring teams value practical projects, clear problem-solving, and collaboration — not just certificates or tool lists.
- Start with SQL & Modeling, then strengthen ETL Tools, and keep improving dbt through hands-on projects, internships, and production-like assignments.
04 · Roadmap
Learning path & roadmap
Stage 1
SQL & Modeling
Advanced SQL and Kimball methodology.
Stage 2
ETL Tools
Informatica / Talend.
Stage 3
Cloud DWH
Snowflake, Redshift.
05 · Certifications
Certifications
Snowflake Certification
Core / Advanced.
06 · Tools
Required tools
SnowflakedbtSSISTableau
07 · Salary
Salary progression (India)
| Level | Experience | Annual CTC |
|---|---|---|
| Junior | 0–2 yrs | ₹7–15 LPA |
| Senior | 5+ yrs | ₹18–38 LPA |
08 · Skill gap
Typical fresher vs. industry expectation
dbt58%
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