Nasdaq

SQL + Python/ETL with a distinctive data-governance/compliance emphasis (GDPR/CCPA) on a BigQuery/Snowflake stack.

Cloud / platform

BigQuery, Snowflake; AWS

Reported difficulty

Not reported

SQLPythonETLBigQuerySnowflake

Hiring process

Recruiter/HR

Technical (coding/ETL/DB)

Team/manager (governance)

Senior panel

Offer

Round-by-round breakdown

3

01

SQL

Medium confidence

Joins, window functions, aggregations over market/trade data

02

Python

Medium confidence

Coding + data manipulation; ETL (Python or R)

03

Data governance / compliance

· distinctiveMedium confidence

Data accuracy initiatives; GDPR/CCPA
Data integrity in a financial context

System & pipeline design prompts

1

Market/trade data pipeline (BigQuery/Snowflake): data quality, governance, compliance

Rejection patterns

3

Weak SQL
No data-governance/compliance awareness (important in finance)
Thin warehouse (BQ/Snowflake) experience

Reported experiences

1

Data Engineer

IllustrativeComposite

Composite: recruiter → technical (SQL + Python + ETL; BigQuery/Snowflake) → team/manager (data governance, GDPR/CCPA) → senior panel (project deep-dive + behavioral).

Hiring process

Round-by-round breakdown

SQL

Python

Data governance / compliance

System & pipeline design prompts

Prep — high priority

Prep — medium priority

Rejection patterns

Reported experiences

Data Engineer

Rehearse for Nasdaq

Nasdaq

Hiring process

Round-by-round breakdown

SQL

Python

Data governance / compliance

System & pipeline design prompts

Prep — high priority

Prep — medium priority

Rejection patterns

Reported experiences

Data Engineer

Rehearse for Nasdaq