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Updated weekly · Last refresh Aug 30

Tata Consultancy Services (North America) Data Engineer Interview Questions

The questions to prepare for a Tata Consultancy Services (North America) Data Engineer interview. Questions from real interview reports rank first. Updated weekly.

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1
SQL & Data ManipulationStart here. 11 questions + 2 drills · ~116 min
Running Total SQLEasy
Practice

Aggregate TCS BaNCS sales by month, then calculate a chronological running total with a window function.

Window FunctionsData WranglingAggregationsTata Consultancy Services (North America)
Star vs Snowflake for Sales AnalyticsMedium
Recently asked

Compare star and snowflake schemas for warehouse design, including trade-offs in normalization, query simplicity, and analytics performance.

JoinsData WranglingGroup ByTata Consultancy Services (North America)
TRUNCATE vs DELETE vs DROP in FintechMedium
Recently asked

Explain TRUNCATE vs DELETE vs DROP, focusing on logging, constraints, transactions, and safe usage in production.

SubqueriesData WranglingCTEsTata Consultancy Services (North America)
Second-Highest Client Transaction AmountMedium
Practice
Recently asked
Practice drill

Use a CTE, join, and dense ranking to return each client's second-highest distinct transaction amount.

Window FunctionsSubqueriesRankingThe AmeripriseTata Consultancy Services (North America)Wells Fargo
Top Customers by Sales RevenueEasy
Practice
Recently asked
Practice drill

Use GROUP BY and SUM to rank the top 10 customers by total revenue from a single sales table.

RankingGroup ByAggregationsHousecall ProEquifaxXYZ
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2
Coding11 questions · ~96 min
Reverse String and Unique ValuesEasy
Practice

Reverse a string and extract insertion-ordered unique values from a Python dictionary using slicing and a set.

string manipulationpythonTata Consultancy Services (North America)
Map vs FlatMap SemanticsMedium
Recently asked

Explain how map differs from flatMap by comparing output cardinality, nesting, and typical use cases.

ETLTata Consultancy Services (North America)
Lazy Evaluation in Spark DAGsMedium
Recently asked

Explain Spark's lazy evaluation: lineage DAGs, transformations vs actions, and how optimization and execution are triggered.

InfrastructureTata Consultancy Services (North America)
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3
Pipelines23 questions · ~200 min
Privacy Compliance in Data PipelinesMedium
Recently asked

Approach for building privacy controls, lineage, and auditability into data pipelines that handle personal data.

Compliancedata privacyPipelinesTata Consultancy Services (North America)
Scaling Data Pipelines EffectivelyMedium
Recently asked

Approach for building data pipelines that scale in throughput, reliability, and operational visibility.

InfrastructureETLTata Consultancy Services (North America)
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4
Behavioral & Leadership5 questions · ~44 min
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The finish line: interview-readyComplete all 50 questions plus 2 hands-on drills to finish this plan.