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A path for data-engineering loops, which lean on SQL fluency, pipeline and distributed-data design, and a working coding bar. Builds the SQL-and-databases foundation, keeps the coding patterns sharp, develops the batch-and-streaming pipeline design vocabulary at the heart of the role, adds the statistics needed for data-quality work, and finishes with the ownership and deep-dive behavioral themes.
SQL is the daily language of data engineering and the most-tested skill in the loop. Pair the database MCQs with the SQL Playground (linked from the practice menu) to get fast at joins, aggregation, and window functions.
Data-engineering coding rounds favor hashing, grouping, and stream-processing patterns over hard graph theory. Keep these sharp.
The system-design round is about moving and storing data at scale: batch vs streaming, partitioning, idempotency, and backfills. Work through the data-heavy designs.
Data engineers own correctness. A working grasp of distributions, sampling, and anomaly detection helps you build meaningful data-quality checks and talk credibly with analysts and scientists.
Data engineers are trusted with the pipelines everyone else depends on. Bring stories about debugging a silent data-quality issue end to end and owning an outage in a pipeline.
Data engineering SQL is less about clever one-liners and more about correctness at volume: multi-table joins, CTEs that stay readable, window functions over event streams, and set operations for reconciliation.
The three sheets that map to the daily job: query tuning and indexing, the Kafka and messaging vocabulary, and distributed-systems patterns for pipeline failure modes.
Original scenario-style practice exams written from the public exam guides, with a timed simulator and per-domain scoring. Both are data-platform exams rather than general cloud ones, so their domains - ingestion, storage design, batch and stream processing, governance - are the same ground a data-engineering loop covers.
21 role-targeted paths are live, from new-grad and backend through SRE, security, data and engineering management. If you have a role you want covered, let us know.
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