Tech track · 8 steps · 65 min
Data Engineer
“I want to build the pipelines that move data”
From what the job is to a small pipeline you can show an employer: SQL and modelling, ETL and ELT, storage, testing, orchestration and using AI assistants without leaking data. For people who like building systems more than presenting charts.
2–3 hours a week for 6 weeks
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01
The steps
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- 01What a data engineer doesTell the data engineer, analyst and scientist apart, and know which one you want to be.6 min
- 02SQL and data modellingWrite the SQL a data engineer uses daily and sketch a simple star schema.9 min
- 03Pipelines: ETL, ELT, batch and streamingExplain how data moves, choose between ETL and ELT, and know when streaming is worth it.9 min
- 04Warehouses, lakes and lakehousesKnow where data lives, what each kind of storage is good at, and the words employers use.8 min
- 05Data quality and testingWrite the checks that catch bad data before your users do.8 min
- 06Orchestration and DAGsUnderstand how pipelines are scheduled, ordered, retried and monitored.8 min
- 07Using AI assistants safely in data workGet real speed from AI coding help without leaking data or shipping wrong SQL.7 min
- 08Build a portfolio pipelinePlan and ship one small, end-to-end pipeline that shows an employer how you work.10 min
02
Quiz and certificate
Data Engineer track quiz
Tick every step, then pass the 10-question quiz with 80% or more. The certificate comes with a link anyone can check.
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- Pass the track quiz with 80%
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03
Where to go next
Free, reputable resources for going deeper. They open on other sites.