Razorpay

SQL + PySpark coding and pipeline-architecture/optimization, with real-time payments scenarios.

Cloud / platform

Spark, Kafka, cloud (AWS)

Reported difficulty

Not reported

SQLPythonPySparkSparkKafka

Hiring process

Recruiter

Technical assessment (coding/video)

Onsite (3–5)

Behavioral

Offer

Round-by-round breakdown

3

01

SQL

Medium confidence

SQL queries + data transformation
Window functions, dedup, payments analytics

02

Python / PySpark

Medium confidence

Progressively harder Python/SQL/PySpark problems

03

Pipeline architecture

Medium confidence

Design/implement pipelines, optimize data flows
Real-time data processing scenarios (Spark/Kafka)

System & pipeline design prompts

1

Real-time payments pipeline / ranking engine (Spark/Kafka): dedup/idempotency

Rejection patterns

3

Weak pipeline design/optimization
Shaky PySpark
Cannot reason about real-time/idempotency for payments

Reported experiences

1

Data Engineer / SWE-DE

ReportedFirst-hand

GeeksforGeeks account: recruiter → technical → onsite loop (SQL + PySpark + pipeline design + real-time scenario).

Hiring process

Round-by-round breakdown

SQL

Python / PySpark

Pipeline architecture

System & pipeline design prompts

Prep — high priority

Prep — medium priority

Rejection patterns

Reported experiences

Data Engineer / SWE-DE

Rehearse for Razorpay

Razorpay

Hiring process

Round-by-round breakdown

SQL

Python / PySpark

Pipeline architecture

System & pipeline design prompts

Prep — high priority

Prep — medium priority

Rejection patterns

Reported experiences

Data Engineer / SWE-DE

Rehearse for Razorpay