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TATA ELXSI Data Engineer Interview Questions

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

30questions
~4htotal time
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1
CodingStart here. 4 questions · ~35 min
Merge Two Sorted ArraysEasy
Practice

Merge two sorted arrays into one sorted array using a two-pointer linear scan.

ArraysSortingTwo PointersTATA ELXSI
Core Data Structures and SQLMedium

Evaluates your problem-solving approach across database concepts, data structures, and general programming.

databaseData StructuresProgrammingTATA ELXSI
Top N Frequent ElementsHard

Tests algorithm design and efficiency for frequency-based retrieval problems.

Hash TablesArraysHeapTATA ELXSI
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2
Pipelines24 questions · ~209 min
Modernize Hadoop to Spark PipelinesEasy

Design a Spark-based batch and streaming pipeline to replace legacy Hadoop jobs and deliver analytics data with sub-3-minute freshness.

InfrastructureToolsBatch ProcessingTATA ELXSI
Warehouse Analytics ExperienceEasy

Discuss practical experience using a data warehouse for analytics, including loading, transformation, orchestration, and data quality.

InfrastructureData ModelingTATA ELXSI
Handling a Production Pipeline FailureEasy

Describe a real production pipeline failure, how you diagnosed and fixed it, and what changes you made around orchestration, quality, and reruns.

InfrastructureIdempotencyQualityTATA ELXSI
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3
More topics2 questions · ~17 min
SQL and NoSQL ExperienceEasy

Tests breadth of database experience relevant to building and operating UC San Francisco data systems.

JoinsData WranglingAggregationsTATA ELXSI
Handling Anomalies in DataMedium

Tests your ability to diagnose data problems and apply SQL and data manipulation to fix them.

Data WranglingCase WhenAggregationsTATA ELXSI
Hands-on SQL practiceWrite and run real queries in the editor. 3 drills · ~30 min
Monthly Sales Trends by CategoryMedium
Practice
Practice drill

Aggregate monthly sales by product category and use LAG to calculate month-over-month changes.

InfrastructureToolsData WranglingTotal Wine & MoreInc.Benjamin Moore
Contact Center Agent Performance MetricsHard
Practice
Practice drill

Compute daily agent call KPIs and SLA using joins, aggregations, and window ranking in a contact center model.

ETLAggregationsData ModelingADP
Python or R Analysis LibrariesMedium
Practice
Practice drill

Count unique respondents by Python or R library and return the most commonly used libraries first.

analytics toolsData ManipulationData WranglingOklahoma City Thunder
The finish line: interview-readyComplete all 30 questions plus 3 hands-on drills to finish this plan.