Data Engineering · 60–90 days
Data Engineering
SQL, Python, Spark and cloud pipelines for reliable data platforms.
Course description
Data engineering builds the pipelines and platforms that make reliable data available for analysis. Explore ingestion, transformation and storage, along with the practices used to operate scalable batch and streaming workflows.
Key topics
- Python, SQL and data warehouse modelling
- ETL/ELT pipelines, Apache Spark and orchestration
- Cloud data platforms, quality checks and monitoring
Salary insights
Illustrative annual salary ranges in India (LPA = lakh rupees per annum). Not verified market data or a placement guarantee; actual pay varies by employer, location and experience.
Fresher (0–2 yrs)
₹5–8 LPA
Mid (3–6 yrs)
₹12–22 LPA
Senior (7+ yrs)
₹25–40 LPA
Job roles: Data Engineer · Analytics Engineer
Frequently asked questions
What does a data engineer do?
Data engineers build and maintain systems that collect, transform and store data. They help analysts and data scientists access consistent, usable information.
Do I need coding experience for Data Engineering?
No. We start from fundamentals and build up to real-world projects.
Are classes online or offline?
Both. Choose live online batches or classroom sessions, with recordings available.
Will I work on real projects?
Yes — each student completes 2–3 industry-style capstone projects for their portfolio.
Will I get a certificate?
Yes, an SK Technologies certificate on completion, plus guidance for global vendor certifications.
Earn your Data Engineering certificate
Complete the course and projects to receive an SK Technologies certificate.
How it works →