Data Engineer
Design robust data infrastructure and pipelines.
- ₹7–16 LPAEntry salary
- ₹22–45 LPASenior / Lead
- HighDemand outlook
01 · Role overview
What does this role do?
Data Engineers create scalable data pipelines for analytics and ML.
ETL Development
Build Extract, Transform, Load pipelines.
Data Warehousing
Design and maintain data platforms.
02 · Skills
Skills required
PythonSQLSparkKafkaAirflowAWS
03 · Market
Career overview
- Design robust data infrastructure and pipelines.
- Best suited for people who enjoy Python, SQL, and Spark and want to build solutions that create visible impact in real teams.
- Typical work includes build extract, transform, load pipelines and design and maintain data platforms.
- Demand is High in India, with entry salaries around ₹7–16 LPA and experienced Data Engineer roles often reaching ₹22–45 LPA.
- Hiring teams value practical projects, clear problem-solving, and collaboration — not just certificates or tool lists.
- Start with SQL & Python, then strengthen Big Data Tools, and keep improving Kafka through hands-on projects, internships, and production-like assignments.
04 · Roadmap
Learning path & roadmap
Stage 1
SQL & Python
Data manipulation.
Stage 2
Big Data Tools
Spark, Hadoop.
Stage 3
Orchestration
Airflow, Kafka.
05 · Certifications
Certifications
Databricks Certified Data Engineer
Industry standard.
06 · Tools
Required tools
SparkAirflowdbtSnowflake
07 · Salary
Salary progression (India)
| Level | Experience | Annual CTC |
|---|---|---|
| Junior | 0–2 yrs | ₹7–16 LPA |
| Senior | 5+ yrs | ₹22–45 LPA |
08 · Skill gap
Typical fresher vs. industry expectation
Kafka64%
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