Data Engineer: skills and learning path
Data engineers build the pipelines that move and model data for analysts and data scientists. SQL, Python, Spark and a cloud data warehouse are the core of most job posts.
Check your resume against Data Engineer job posts
See which of these skills your resume shows and get a learning path for the rest. No sign-up needed, and nothing you paste or upload is saved.
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Showing your skill gap for Data Engineer. Nothing you pasted or uploaded was saved.
What Data Engineer job posts ask for
The share of job posts that ask for each skill, rounded. Core skills are asked for in at least 15% of posts.
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SQL Core65%
- 60%
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Python Core60%
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Spark and big data Core55%
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AWS Core25%
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Microsoft Azure Core25%
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Database administration Also useful10%
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Google Cloud Also useful10%
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Agile and Scrum Also useful10%
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Data analysis Also useful10%
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Linux and shell scripting Also useful10%
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Git Also useful10%
Learning path
The core skills in order, with a free course and practice on jobpe for each. Check your resume above to see only the skills you're missing.
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1
SQL
Core skill · in about 65% of job posts -
2
ETL and data warehousing
Core skill · in about 60% of job posts -
3
Python
Core skill · in about 60% of job posts -
4
Spark and big data
Core skill · in about 55% of job posts -
5
AWS
Core skill · in about 25% of job posts -
6
Microsoft Azure
Core skill · in about 25% of job posts
Finish with a mock interview
Practise answering Data Engineer questions out loud, with AI feedback.