McKinsey & Company Does data engineering requires high coding? I like coding but not at the level of SDE. Can anyone tell me what's the level of coding in data engineering profiles? Accenture Amazon Infosys Newco Tata Consultancy Amdocs Cognizant Capgemini CGI Deloitte Deloitte USI Deloitte India EY Ericsson Facebook (Meta) Genpact Goldman Sachs Google HCL Technologies IBM IQVIA JPMorgan Chase KPMG Kantar Larsen & Toubro Infotech McKinsey & Company Microsoft Morgan Stanley Mindtree NTT DATA Oracle Optum OpenText

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Data engineering is vast domain and under have various fields like data analytics,big data,data science,Data analyst ,data visualization etc
Now your question.. the level of coding or analytical skills varies based on these fields and also project based on data architecture we want to use from different sources like cloud,storage drives,dynamic data etc.

Bhai me answer de sakta hu. Usse pehle jo jo company tune chod di sabko tag kar.

Hehe

I am in Data Engineering. DE has a lot of area and technology - some of them you require sufficient coding (If you are handling big data with Dataproc, Glue, Databricks etc.), A lot of them require great SQL knowledge, and some do not need that much coding (Mostly cloud based services like Dataprep, Glue Studio etc.). Hence depends on what you are in.

Bhai can i be an expert in databricks for ETL purpose if i know sql well

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