Hey All, Some suggestions needed ,
I have a total experience of 2.5 years and I have been offered from Target and McKinsey for Data Engineering profile. Compensation wise both of them are equivalent. Can some help me understand the career growth and work culture of these two companies , one being product based other being consultancy.


Any help will be highly appreciated.

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Depends on what is your priority. Target is definitely a good company. Lot of development opportunities, good benefits, good WLB and generally is a good company to work for.

Only con I will say is that they don't use cloud for data engineering, no aws, azure or gcp. You won't be getting any cloud experience. They strictly work on open source, which is apache org tools (oozie, Scala, spark, hive, hbase, Kafka), no python or anything for data engineers. So if you are okay with this, then you should definitely take target. I am also currently working in the same profile.

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Yeah the projects I have worked so far were on premises data and like most of the pipelines were already built, looking for more exposure in cloud and building platforms frok early phase as well.

Which team in McKinsey and what are they offering you?

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I think you should go for QuantumBlack but the WLB might be screwed there. Not sure if you'll get to travel though if that's a pro in your mind.

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