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Commerce, Travel & Marketplaces

Flipkart

E-commerce (India) · Data Engineering interview

Data modeling from a business scenario, SQL + Spark internals (jobs/stages/tasks, JSON-with-Spark), and end-to-end ETL.

Cloud / platform

GCP + on-prem; Spark, Kafka, Hadoop, Hive

Reported difficulty

Not reported

SQLSparkPythonHadoopKafka

Hiring process

OA / machine coding

Technical rounds

Behavioral/managerial

Final management

Offer

Round-by-round breakdown

SQL

High confidence

Complex queries — joins, window functions, performance tuning
Top-N per category, dedup, sessionize

Spark

High confidence

Spark internals — jobs, stages, tasks
Process JSON with Spark (machine coding)

Data Modeling

· design-from-scenarioHigh confidence

Design a data model for a cricket tournament (teams, players, matches, scores, stadiums)
Conceptual/logical/physical models

ETL

Medium confidence

Explain end-to-end flow from ingestion to data warehouse

System & pipeline design prompts

End-to-end ETL ingestion → warehouse; e-commerce order/clickstream pipeline (Hadoop/Spark/Kafka)

Prep — high priority

Data modeling (design-from-scenario, e.g., tournament/e-commerce)
SQL (joins, window, tuning)
Spark internals (jobs/stages/tasks) + JSON processing

Prep — medium priority

ETL end-to-end; DSA arrays
Project/case presentation

Rejection patterns

Weak data modeling (cannot design from a scenario)
Shallow Spark internals
Weak SQL performance tuning

Reported experiences

Data Engineer II (Bangalore)

OfferFirst-hand

LeetCode account confirming the 4-round DE loop with SQL + Spark + modeling.

Data Engineer I

ReportedFirst-hand

GeeksforGeeks: OA (SQL/reasoning/stats) → technical (SQL, data modeling from a business scenario, Spark, project) → managerial.

Rehearse for Flipkart

Answered questions on what Flipkart actually asks — each with the short answer, the answer that gets you rejected, and the follow-up.

Then build one and have it reviewed: design a daily orders pipeline or model a marketplace. No account.

All interview experiences

Openingloading the content…

Commerce, Travel & Marketplaces

Flipkart

E-commerce (India) · Data Engineering interview

Data modeling from a business scenario, SQL + Spark internals (jobs/stages/tasks, JSON-with-Spark), and end-to-end ETL.

Cloud / platform

GCP + on-prem; Spark, Kafka, Hadoop, Hive

Reported difficulty

Not reported

SQLSparkPythonHadoopKafka

Hiring process

OA / machine coding

Technical rounds

Behavioral/managerial

Final management

Offer

Round-by-round breakdown

SQL

High confidence

Complex queries — joins, window functions, performance tuning
Top-N per category, dedup, sessionize

Spark

High confidence

Spark internals — jobs, stages, tasks
Process JSON with Spark (machine coding)

Data Modeling

· design-from-scenarioHigh confidence

Design a data model for a cricket tournament (teams, players, matches, scores, stadiums)
Conceptual/logical/physical models

ETL

Medium confidence

Explain end-to-end flow from ingestion to data warehouse

System & pipeline design prompts

End-to-end ETL ingestion → warehouse; e-commerce order/clickstream pipeline (Hadoop/Spark/Kafka)

Prep — high priority

Data modeling (design-from-scenario, e.g., tournament/e-commerce)
SQL (joins, window, tuning)
Spark internals (jobs/stages/tasks) + JSON processing

Prep — medium priority

ETL end-to-end; DSA arrays
Project/case presentation

Rejection patterns

Weak data modeling (cannot design from a scenario)
Shallow Spark internals
Weak SQL performance tuning

Reported experiences

Data Engineer II (Bangalore)

OfferFirst-hand

LeetCode account confirming the 4-round DE loop with SQL + Spark + modeling.

Data Engineer I

ReportedFirst-hand

GeeksforGeeks: OA (SQL/reasoning/stats) → technical (SQL, data modeling from a business scenario, Spark, project) → managerial.

Rehearse for Flipkart

Answered questions on what Flipkart actually asks — each with the short answer, the answer that gets you rejected, and the follow-up.

Then build one and have it reviewed: design a daily orders pipeline or model a marketplace. No account.

All interview experiences