Real interview questions asked at Tech Mahindra. Practice the most frequently asked questions and land your next role.
Tech Mahindra data engineering interviews test your ability across multiple domains. These questions are sourced from real Tech Mahindra interview experiences and sorted by frequency. Practice the ones that matter most. This set leans toward senior-level depth (10 of 22 are tagged hard). Recurring themes are partition, spark, and airflow — these patterns appear most often in real interviews and reward the deepest preparation. Many of these questions also surface at EY and Incedo, so the preparation transfers across companies. Average answer is around 1 minute of reading — plan roughly 1 hour to work through the full set thoughtfully.
This collection contains 22 curated questions: 7 easy, 5 medium, and 10 hard. The distribution skews toward harder problems, reflecting the depth expected in senior-level interviews.
The most frequently tested areas in this set are partition (8), spark (8), airflow (6), bigquery (5), optimization (5), and sql (4). Focusing on these topics will give you the highest return on your preparation time.
Start with the easy questions to warm up and solidify fundamentals. Medium-difficulty questions form the bulk of real interviews — spend the most time here and practice explaining your reasoning out loud. Hard questions often appear in senior and staff-level rounds; attempt them after you're comfortable with the basics. For each question, try answering before revealing the solution. Use our AI Mock Interview to simulate real interview conditions and get instant feedback on your responses.
What are Airflow Operators? Give examples.
How do you remove duplicate rows in BigQuery?
What are the key components of AWS Glue, and how do they work together?
What is Azure Data Factory (ADF), and what are its main components?
What is Snowflake's architecture, and why is it unique?
What is the difference between S3 and HDFS?
What is the role of AWS Lambda in a data engineering pipeline?
What is the role of the Integration Runtime (IR) in ADF?
Detail examples of inner, outer, left, and right joins.
Difference Between Internal and External Tables in BigQuery
Provide Data Pipeline for GCP Data Engineering
What is XCom in Airflow?
Are You Aware of Beam?
What is PCollection?
What is ParDo and Map?
Python Code Using Constructors in a Class
How to Use Dataflow with BigQuery
Query for 2nd Latest Joining Per Department
Rank, Dense Rank, and Row Number - Differences
Limiting Parallel Tasks
Running Tasks in Parallel
Setting Dependencies for Tasks in DAG
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