Data Engineer Mock interview with Ritesh Ohol

Want to know if you are truly ready for your upcoming Data Engineering technical rounds?

Skip the guesswork. In this realistic 1:1 mock interview, I will test your technical depth, problem-solving speed, and system design thinking using the exact evaluation standards applied by top tech companies and Big 4 firms.

🎯 Choose Your Focus Track:

1. 💻 Coding & Data Manipulation Round:

* Complex SQL (Window functions, joins, CTEs, performance query tuning).

* PySpark / Python (DataFrames, RDD operations, transformations, memory optimization).

2. 🏗️ Data Architecture & System Design Round:

* End-to-end batch & real-time ETL pipeline design.

* Tool selection & trade-offs (GCP / AWS / Azure / Databricks / Snowflake / Airflow).

* Data modeling (Star/Snowflake schema, Medallion Architecture, partitioning/clustering).

3. 🏢 Company-Specific Screening (Deloitte / Big 4 / Top Product Companies):

* Blend of core technical questions, scenario-based architecture challenges, and project deep-dive grilling.

⏱️ How the Session Is Structured:

* 00–05 mins: Quick intro & aligning on your target role/company.

* 05–45 mins: Live interview simulation (Problem solving, live coding, or architecture whiteboarding).

* 45–60 mins: Comprehensive feedback & debrief (Strengths, blind spots, how to structure answers better, and key improvement areas).

🎁 What You’ll Walk Away With:

* An objective evaluation of your current skill level.

* Constructive, line-by-line feedback on where you lost points.

* Recommended resources and curated questions to brush up on your weak spots.