Data Engineering - Intermediate
Issued by
Deloitte
After earning this badge, recipients will have a strong understanding of key data engineering concepts, such as data pipelines, database design, big data analysis, data governance, code quality standards, version control best practices (i.e., Git), and containerization. Earners will have successfully acquired fundamental data engineering skills and will be able to operate independently on tasks with minor technical oversight on the majority of traditional data engineering work.
Skills
Earning Criteria
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Deloitte AI Academy™: Data Engineering (DE) Intermediate Pathway
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500 hours of relevant project time
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2 Eminence Activities
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Data Engineering - Foundation Badge
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Disclaimer: This badge has been issued based on established objective criteria. Deloitte does not make any claims that our badges guarantee quality or expertise, and they should not be relied upon as such. The badge is not an indicator of any endorsement by Deloitte. Use of Deloitte badges by individuals who are not currently employed by or a partner/principal of Deloitte does not imply association between Deloitte and the individual beyond the previously administered training & assessment.