Mock Interview For Freshers with Shruti Bharat

Practise before the real interview. In this mock interview, I ask the kind of questions data engineering interviews commonly cover, and then tell you what went well and what to fix.

I’m a working Data Engineer (2 years of experience, Databricks Certified Data Engineer Associate), and I use SQL, PySpark, Airflow, AWS and Databricks in my work.

What the session covers

1. SQL: joins, window functions, aggregations and query logic
2. Python for data engineering
3. Data engineering concepts: ETL vs ELT, incremental loads, data quality, reruns
4. Spark and PySpark basics (for Option B, deeper)
5. A walkthrough of one of your projects, as you would explain it in an interview

What you get

1. A live mock interview with follow-up questions
2. Written feedback after the call: strengths, gaps and what to practise next
3. A short list of topics to study before your next interview

Good for: Students, freshers, career switchers and early-career data engineers preparing for interviews.

Please note: This is practice, and it doesn’t guarantee how a real interview will go or promise a job offer.