Data Engineer
Your morning involves troubleshooting a failed Apache Spark job that broke an overnight ETL pipeline feeding a retailer's recommendation engine, fixing a schema mismatch in a Kafka stream. Afternoons are spent designing a new data lakehouse architecture on Azure Data Factory, writing dbt transformation models, and reviewing code pull requests from junior engineers.
SALARY RANGE
₹7L - ₹35L /yr
DEMAND
9/10
GROWTH
10/10
STREAM
Science_PCM
SECTOR
Science
AVG SALARY (LPA)
₹21L
WFH POSSIBLE
No
TREND
Growing
Your Success Roadmap
Step 1: Clear 12th (PCM)
Clear 12th (PCM)
Step 2: B.Tech in CS/IT
B.Tech in CS/IT
Step 3: Learn SQL, Python, Spark, Kafka, Airflow, cloud platforms
Learn SQL, Python, Spark, Kafka, Airflow, cloud platforms
Step 4: 2-3 years as Backend Developer or Database Engineer
2-3 years as Backend Developer or Database Engineer
Step 5: Junior Data Engineer
Junior Data Engineer
Step 6: Data Engineer
Data Engineer
Step 7: Senior Data Engineer / Data Architect
Senior Data Engineer / Data Architect
Market Analysis & Insights
50%
Inclusive work environment
5 Years
Post-Class 12 preparation
Yes
Entrepreneurial opportunities
Medium
Nature of day-to-day work
Regional Relevance: Pan-India
Recommended Certifications
Key Skills Required
Top Colleges in India
A Typical Day in This Career
As a Data Engineer, your day typically begins with strategic planning and client interactions. You'll spend most of your time solving complex problems and collaborating with team members. No two days are exactly alike, making it a dynamic and fulfilling choice for those who love to learn.
This could be your future.
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Editorial Policy & Data Sources
Maintained by the 12kebaad Editorial & Research Team. Career benchmarks, salary brackets, and educational requirements are compiled from official regulatory portals, UGC/AICTE notifications, and verified industry hiring reports. Last reviewed: 2026. Have an update or correction? Contact us at 12kebaad.team@gmail.com.
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