Top 37
Prep plan
Updated weekly · Last refresh Oct 17

Paytm Data Engineer Interview Questions

The questions to prepare for a Paytm Data Engineer interview. Questions from real interview reports rank first. Updated daily.

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1
SQL & Data ManipulationStart here. 9 questions + 2 drills · ~104 min
SQL Nth Highest Salary QueryEasy
Practice

Find the third-highest distinct employee salary using PostgreSQL DISTINCT, ORDER BY, LIMIT, and OFFSET.

sql queryRankingsalaryPaytm
Explain ACID for Card TransactionsEasy

Explain ACID properties and why they protect financial transaction data in card and payments systems.

acid propertiesfinancial datadata integrityPaytm
Understanding ACID Properties in DatabasesMedium

Explain the ACID properties of database transactions and their importance.

Paytm
Max Salary Across DepartmentsMedium
Practice
Practice drill

Find each department's maximum salary and all employees tied at that salary using aggregation and joins.

aggregationsqlInformaticaPaytm
Common Users Between Two TablesEasy
Practice
Recently asked
Practice drill

Use CTEs and an INNER JOIN to find distinct Paytm users active in both Wallet and UPI during January 2026.

JoinssqlPaytm
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2
Coding11 questions · ~102 min
Palindrome FunctionEasy
Practice

Use two pointers to determine whether a City National Bank reference label reads identically forward and backward.

RecursionStringsTwo PointersPaytm
Frequency of Each NumberEasy
Practice

Count each integer's occurrences in one pass using a Python dictionary.

aggregationArraysData StructuresPaytm
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3
Pipelines15 questions · ~139 min
Optimize Slow Spark ETL PipelineHard

Redesign a slow Databricks Spark ETL pipeline to cut runtime from 3 hours to under 60 minutes without breaking data quality or SLAs.

Paytm
Handle PySpark Data SkewMedium

Approach for detecting and mitigating skew in PySpark pipelines using partitioning, join strategies, and runtime monitoring.

Data Qualitypysparkdata skewnessPaytm
Data Quality in ETL PipelinesEasy

Approach for maintaining data quality and integrity across ETL pipelines.

IdempotencyData ModelingQualityPaytm
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4
More topics2 questions · ~19 min
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The finish line: interview-readyComplete all 37 questions plus 2 hands-on drills to finish this plan.