Mock Interview For Professionals with Shruti Bharat

Already working as a data engineer, or moving into your next role? This 60-minute mock interview goes beyond basic questions. It tests how you think about real pipelines, not only whether you know the syntax.

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

What the session covers

1. SQL: window functions, complex joins and query optimisation
2. Python for data pipelines.
3. Spark and PySpark: joins, partitions, shuffles and performance
4. Pipeline design: batch loads, incremental loads, reruns and data quality
5. Troubleshooting scenarios: failed jobs, duplicates and missing data
6. Databricks and Delta Lake basics
7. A walkthrough of a project you’ve worked on, with follow-up questions

What you get

1. A live 60-minute mock interview with follow-up questions
2. Written feedback within 48 hours: strengths, gaps and what to practise next
3. A short list of topics to study before your interview

Good for: Data engineers with 1 to 3 years of experience preparing for interviews or a job switch.

Please note: This is practice and does not guarantee how a real interview will go.