bigspark Data Engineer Interview Questions

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

6questions

~1htotal time

Track your progressSign up free to work through all 6 questions and resume where you left off.

Start practicing free →

PipelinesStart here. 2 questions · ~16 min

Batch vs Streaming Data ProcessingEasy

Compare batch and streaming data processing, including when each fits best in a pipeline.

Stream ProcessingETLBatch Processingbbigspark

Production Data Streaming ChallengesMedium

Evaluates your ability to troubleshoot and stabilize streaming pipelines in production.

sparkbbigspark

SQL & Data Manipulation1 question + 3 drills · ~38 min

SQL Aggregations for GraphsMedium

Tests your SQL skills for transforming data into aggregated outputs suitable for visualization.

AggregationsGraphsbbigspark

Optimizing Slow SQL or SparkMedium

Practice

Practice drill

Rewrite a slow PostgreSQL aggregation and explain how to validate its performance with execution plans and indexing.

Performance Tuningdatabase optimizationJoins

Starbucks

SQL KPI Measurement With PythonMedium

Practice

Practice drill

Calculate monthly transaction KPIs by risk tier, including label coverage, suspicious rates, and period-over-period success changes.

sqldata validationpython

Revolut

Build KPIs With SQL and PythonMedium

Practice

Practice drill

Build customer-plan KPIs from joined sample data, including order completion, revenue, and average completed order value.

KPIsJoinssql

Intuit

Sign up to see every question

Create a free account to unlock this list and practice real interview questions.

Get my prep plan

Coding1 question · ~8 min

Spark and AWS Coding PracticeHard

Evaluates your ability to implement Spark-based solutions on AWS with sound engineering tradeoffs.

sparkawsbbigspark

Behavioral & Leadership2 questions · ~16 min

Building Spark Streaming PipelinesMedium

Assesses your practical experience with Spark, Python, and streaming data engineering.

pythonbbigspark

Spark and Python ComfortEasy

Assesses your hands-on experience with Spark and Python for data engineering work.

technical experiencepythonsparkbbigspark

The finish line: interview-readyComplete all 6 questions plus 3 hands-on drills to finish this plan.