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Prep plan
Updated weekly · Last refresh Aug 30

Ltimindtree Data Engineer Interview Questions

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

31questions
~4htotal time
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1
PipelinesStart here. 8 questions · ~66 min
Secure External Stages to SnowflakeHard
Recently asked

Tests your ability to design secure ingestion from cloud object storage into Snowflake for analytics.

data integrationSecurityCloudLtimindtree
Real-Time Kafka to PySpark StreamingHard
Recently asked

Tests your ability to architect streaming pipelines with correct processing, reliability, and integration.

data integrationStream ProcessingOrchestrationLtimindtree
Snowpipe Continuous LoadingMedium
Recently asked

Tests your ability to compare ingestion patterns for reliable, near-real-time loading into Snowflake.

Stream ProcessingETLCloudLtimindtree
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2
Coding6 questions · ~50 min
PySpark DataFrame vs RDDMedium
Recently asked

Tests your Spark fundamentals and your ability to reason about performance differences.

Data Structuressparkperformance analysisLtimindtree
Handle Data Skew in PySparkHard
Recently asked

Tests your ability to mitigate skew-related performance issues in distributed joins.

sparkshufflesperformance analysisLtimindtree
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3
SQL & Data Manipulation8 questions + 3 drills · ~96 min
Window Functions and Use CasesMedium
Recently asked

Tests your understanding of SQL window functions and when to apply each ranking method.

Window FunctionsRankingsqlLtimindtree
Second-Highest Without LIMITMedium
Recently asked

Tests your SQL query-writing skills for ranking and edge cases without LIMIT.

SubqueriesRankingsqlLtimindtree
Optimize Slow Multi-Join SQLHard
Recently asked

Tests query optimization techniques and performance troubleshooting for complex SQL.

Performance TuningJoinssqlLtimindtree
Second Highest Trader SalaryEasy
Practice
Practice drill

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

SubqueriesRankingSortingeClinicalWorksInformaticaSpectraforce Technologies
Advanced SQL With PartitionsHard
Practice
Practice drill

Use CTEs, aggregations, and window functions to compare gender pay and find each department's second-highest salary.

Window FunctionsJoinssqlMeesho
Top-Performing Products QueryMedium
Practice
Practice drill

Rank Tesco products by Q2 revenue using a date-filtered join, aggregation, and RANK window function.

sqlperformance analysisTTesco
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4
Behavioral & Leadership9 questions · ~74 min
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The finish line: interview-readyComplete all 31 questions plus 3 hands-on drills to finish this plan.