Data Engineer
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McKinsey Analytics Careers

Data Engineer

Build mission-critical software and architecture

Where you’re headed

You will lay the groundwork for data analysis and experimentation, guiding clients through the digital landscape. You will clean, transform, and aggregate data; compile and install database systems; write complex queries; scale to multiple machines; and put disaster-recovery systems in place—all with a sharp eye on what is important for the client. 

Where you’ve been

You have an advanced degree in computer science (or the equivalent) and a passion for big data technologies. In addition, you bring:

  • hands-on experience in building data solutions for advanced analytics
  • deep knowledge of and expertise in big data technologies, such as Hadoop and Spark
  • solid programming skills in Python, Java, SQL querying, and Scala
  • familiarity with advanced-analytics tools, such as Anaconda or Spark for machine learning
  • excellent collaboration and communication skills—with teams and clients alike
  • intellectual curiosity and a willingness to work outside your comfort zone

I can explore and innovate with the latest technologies and techniques. There’s not a single day when I’m not learning something new.

Khusboo

Data Engineer, Analytics Generalist, Gurgaon

Meet Our People

The caliber of people here is really impressive. You can easily find yourself working with some technology and then discover that the person who created it is sitting a few seats away.

Tom

Data Engineer, QuantumBlack, London

I joined with technical expertise and experience in various analytics tools. Today, I’m applying these skills to driving business decisions.

Matrika

Data Engineer, Analytics Generalist, Gurgaon

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