Study plan from a job posting

Paste the job. Get the exact study plan for it.

Stop studying everything. DataForge turns a data engineering job description into a track with only the lessons that job needs — in order, with the hours to be ready.

How it works in 3 steps

  1. Paste the job description — any company, English or Portuguese.
  2. Choose your goal: Essential (ready for the interview) or Complete mastery (everything relevant, in depth).
  3. Get your track: lesson-by-lesson, with why each course matters for that role and the estimated hours.

Example: a Senior Data Engineer posting

A posting asking for "Spark, Airflow, dbt, AWS and strong SQL" becomes a track like:

  • SQL — window functions and CTEs (the interview favorites)
  • Spark — partitioning, joins and performance
  • Airflow — DAGs, scheduling and retries
  • dbt — models, tests and incremental builds
  • AWS — S3, IAM and the data services the job names

Lessons the job doesn't need (say, deep Linux shell) stay available as optional, never blocking you.

Ready-made tracks by career

Not applying yet? Start with a career track — AI Engineer, Data Platform Engineer, Data Architect or Analytics Engineer — or keep the Full Track and learn everything. Switching is one click, and your progress follows you. See also the data engineer job description guide and the interview questions.

FAQ

How does a study plan from a job description work?
You paste the job posting. DataForge reads the skills it asks for (SQL, Spark, Airflow, dbt, AWS…) and picks the exact lessons from our catalog that cover them, in a sensible order, with an estimate of the hours needed.
What is the difference between 'Essential' and 'Complete mastery'?
Essential is the minimum to walk into the interview prepared — fewer lessons, less time. Complete mastery covers everything relevant to the role in depth. You pick the goal; the time follows from it.
Do I lose progress if I switch tracks?
No. Progress is saved per lesson, so a lesson you finish in one track counts in every track, including the Full Track.
Is it free?
Ready-made career tracks (AI Engineer, Data Platform Engineer, Data Architect, Analytics Engineer) are open to everyone. The track built from a job posting is a member feature, included in the 7-day free trial.
Does it guarantee I get the job?
No tool can promise that. It makes sure you study what that specific job asks for instead of everything at once.

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