Data Engineer

Short Description

McKinsey is seeking for Data Engineer who has advanced knowledge of Hadoop stack, with prior experience in Hive, Pig, HBase, Impala, and Sqoop.

Job Description

Roles And Responsibilities:
  • Bachelor's degree in computer science, information systems, or closely related field.
  • Advanced knowledge of Hadoop stack, with prior experience in Hive, Pig, HBase, Impala, and Sqoop.
  • Advanced knowledge of database maintenance and administration using MS SQL Server.
  • Hands-on experience in Microsoft Azure or Amazon EC2 cloud platform.
  • 1-5 years of experience in a software engineering or IT infrastructure role.
  • Advanced knowledge of object-oriented programming, distributed systems, and software design principles.
  • Strong programming experience in Java, Python, and R.
  • Programming experience in C++, SAS, and JavaScript.
  • Experienced in NoSQL systems like MongoDB, Redis, or Cassandra.
  • Experienced in Apache Spark.

Data Engineer
Mid-Senior-level Information Technology | Technology | Information Full-time Other | Information Technology | Engineering Data Engineer
McKinsey & Company is a global management consulting firm. We are the trusted advisor to the world's leading businesses, governments, and institutions. 

We work with leading organizations across the private, public and social sectors. Our scale, scope, and knowledge allow us to address problems that no one else can. We have deep functional and industry expertise as well as breadth of geographical reach. We are passionate about taking on immense challenges that matter to our clients and, often, to the world. 

We work with our clients as we do with our colleagues. We build their capabilities and leadership skills at every level and every opportunity. We do this to help build internal support, get to real issues, and reach practical recommendations. We bring out the capabilities of clients to fully participate in the process and lead the ongoing work.