Best Data Engineering Course

The BrowseJobs Google Business Profile shows 4.9 from 473 reviews. That figure is the business listing, captured 8 Oct 2026. It is not a rating BrowseJobs calculated for this course. Read the Google listing.

Based on BrowseJobs internal data. Historical figures — not a promise of individual outcome. Hiring depends on the live market and your performance.

Registration of ₹30,000 covers the course. It is not a promise of a job. Pay after placement is three months of the CTC on the offer you accept, charged in EMIs only after you accept that offer. The fee is written out on Pay after placement.

Six months of Python, SQL, Spark, Databricks, AWS, Azure and Airflow, for people who want pipeline work. The Whitefield classroom and the live online class use the same syllabus.

The Whitefield classroom is Data Engineering in Bangalore. Live online from any city is Data Engineering in India. The module list is the Data Engineering course. The syllabus is the same six-month course.

Founder: Dr Krish Bharggav. Phone +91 79755 54666. The office, if you want the room, is Aashvi, 3rd Floor, Whitefield Channasandra Main Road, Whitefield, Bengaluru, Karnataka 560066. All programmes are listed on Courses.

Only the modules named by Dr Krish Bharggav are listed. A topic that is not in this table is not part of the course.

1. Months 1–2 — Python, Pandas, and SQL. The published modules start with Python for data engineering, Pandas, and SQL and data modelling. There is no week-by-week calendar beyond the six-month length.
2. Months 3–4 — Spark, AWS, and Databricks. Apache Spark and PySpark, AWS for data engineering, and Databricks and Delta Lake are the published middle of the syllabus. Kafka and Spark Structured Streaming stay self-study, as in the published modules.
3. Months 5–6 — Azure, Airflow, and projects. Azure data engineering, Airflow and ADF orchestration, and the interview module close the published list. The three published projects are a batch pipeline on AWS, a medallion lakehouse on Databricks, and a production Airflow deployment.

Where you sit, in Bangalore or anywhere else in India, does not change this rule.

The next step on this course is the free AI interview, not a seat you pay for first. The clear mark is 75%. Score 75% or above and your CV goes to 3,000 HR recruiters. On BrowseJobs internal data, that score comes with an almost 60% higher chance of an interview call. Below 75%, you get a free counselling roadmap rather than a profile sent out in hope.

A person always releases the offer letter. The interview can rank and explain. It does not hire you, and neither does finishing six months of class. Nobody can guarantee employment. The market decides, and so does your performance. There is no fixed salary.

Based on BrowseJobs internal data. Historical figures — not a promise of individual outcome. Hiring depends on the live market and your performance.

People who can give it six months and want the data engineering tools, not a city-specific pitch. Freshers and people moving from non-IT work can start. Read Non-IT to IT before you treat this course as the only path.

If you already know you want the Whitefield room, or you want to study live online from another city, read Data Engineering in Bangalore or Data Engineering in India. The course is the tools, and who they suit.

The course is the tools below, and who they suit. In Bangalore the class is also in the Whitefield classroom. From any city the same course is live online, and the fee is written once for the country.

Match the work. Analyst work is Excel, SQL, Python and Power BI. Pipeline work is Spark, Databricks and cloud. Model work is Python, a large language model, RAG and an agent. Pick the course whose tools match the job you can describe. Classes are live, with recordings kept so a missed session is recoverable.

Here, ₹30,000 covers the course. Pay after placement is three months of the CTC on the offer you accept, charged in EMIs after that acceptance. A slogan that says the course is free until you are hired is not this model.