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
- Paste the job description — any company, English or Portuguese.
- Choose your goal: Essential (ready for the interview) or Complete mastery (everything relevant, in depth).
- 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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