39 chapters covering every Data Engineer interview round. SQL & Query Optimization | Data Pipeline Architecture | Cloud Data Warehouses (Snowflake, BigQuery, Redshift) | Real-Time Streaming (Kafka, Flink) | Data Modeling | ETL/ELT Design | Behavioral Rounds Every problem includes full sample answers: how to design schemas, optimize queries, build fault-tolerant pipelines, and explain architectural trade-offs. Covers Google, Meta, Amazon, Netflix, and top tech companies. Built by a Silico
Hey PH! Data Engineer is one of the fastest-growing roles in tech, but interview prep resources are surprisingly thin.
Most candidates study SQL but skip pipeline design. Or they know Spark but can't explain data modeling trade-offs to a senior interviewer.
39 chapters covering everything from query optimization to real-time streaming architecture.
FREE on Kindle May 26-27. $9.99 after that.
Happy to answer DE interview questions!
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