Company Data Engineer Interview Questions & Preparation
Company-wise Data Engineer interview preparation: the PySpark, SQL and Python questions each company favours, with free practice challenges you can solve in the browser.
Each guide below breaks down what a company actually asks its Data Engineering candidates — the SQL patterns, PySpark transformations and Python problems that come up most often — and links straight to free challenges so you can practise the exact skill in the browser. Nothing is behind a signup wall.
Companies
- Amazon Data Engineer interview questions — Amazon Data Engineer interviews lean heavily on SQL (window functions, aggregations, dedup), data modeling, an
- Databricks Data Engineer interview questions — Databricks interviews go deep on Apache Spark internals — DataFrame transformations, shuffles, broadcast joins
- Google Data Engineer interview questions — Google Data Engineering interviews emphasise strong SQL (BigQuery-style analytics), Python coding, and large-s
- Netflix Data Engineer interview questions — Netflix runs petabyte-scale pipelines on Spark, Iceberg and Kafka. Interviews test deep SQL, Spark optimizatio
- Microsoft Data Engineer interview questions — Microsoft Data Engineer interviews mix solid SQL, Python and Azure data-stack design (Data Factory, Synapse, F
- Flipkart Data Engineer interview questions — Flipkart Data Engineering interviews are SQL-heavy with strong Spark and data-modeling rounds — commerce-scale
- PhonePe Data Engineer interview questions — PhonePe data interviews focus on high-volume transactional analytics — SQL window functions, dedup, anomaly ch
- Razorpay Data Engineer interview questions — Razorpay Data Engineering interviews test practical SQL on payments data (settlements, dedup, reconciliation-s
How to prepare
Work backwards from the role: identify the recurring question types, practise them until the pattern is automatic, then rehearse explaining your approach out loud. Start with free coding challenges, sharpen the fundamentals in the learn guides, and browse live Data Engineering roles when you are ready to apply.
PySpark.in is not affiliated with any company listed. Company names are used only to describe publicly reported interview topics.