Top 46
Prep plan
Updated weekly · Last refresh Aug 30

Mphasis Data Engineer Interview Questions

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

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1
SQL & Data ManipulationStart here. 17 questions + 1 drill · ~155 min
Second Highest Trader SalaryEasy
Practice

Find the second highest distinct salary from a single table using basic PostgreSQL ordering and limiting.

SubqueriesRankingSortingMphasis
Date Format Conversion in SQLEasy
Practice

Format Mphasis service dates as MM/DD/YYYY strings using PostgreSQL TO_CHAR.

sqlMphasis
Pivot and Unpivot in SQLMedium

Tests ability to reshape datasets for reporting and analytics use cases.

PivotData WranglingAggregationsMphasis
Second Highest Without AggregatesHard
Practice
Recently asked
Practice drill

Find the second highest salary in each department without using aggregate functions.

SubqueriesRankingSelf-JoinsCredit GenieDevoteamCisco Restaurant + Bar
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2
Pipelines28 questions · ~239 min
Star vs Snowflake SchemaEasy

Compare star and snowflake schemas in a warehouse pipeline, including structure and transformation trade-offs.

snowflake schemastar schemaData ModelingMphasis
Data Quality and Schema EvolutionMedium

Approach for handling schema changes and data quality checks in a high-volume data lake pipeline.

schema evolutionData ModelingQualityMphasis
ETL vs ELT Trade-offsEasy

Compare ETL and ELT, and explain when ELT is the better pipeline pattern.

ETLELTData ModelingMphasis
Handle PySpark Data SkewMedium

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

Data Qualitypysparkdata skewnessMphasis
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3
More topics1 question · ~9 min
Create Column From Two ColumnsEasy

Tests your ability to implement column transformations in a DataFrame-based pipeline.

pandasMphasis
The finish line: interview-readyComplete all 46 questions plus 1 hands-on drill to finish this plan.