Senior Data Engineer

Short Description

McKinsey is looking for a Senior Data Engineer who has experience and interest in cloud platforms such as AWS, Azure, Goole Platform, or Databricksks.

Job Description

Responsibilities:
  • Ability to work across structured, semi-structured, and unstructured data, extracting information, and identifying linkages across disparate data sets.
  • Meaningful experience in multiple database technologies such as Distributed Processing (Spark, Hadoop, EMR), traditional RDBMS (MS SQL Server, Oracle, MySQL, PostgreSQL), MPP (AWS Redshift, Teradata), NoSQL (MongoDB, DynamoDB, Cassandra, Neo4J, Titan)
  • Confirmed ability in clearly communicating complex solutions deep understanding of Information Security principles to ensure compliant handling and management of client data.
  • Experience and interest in cloud platforms such as AWS, Azure, Goole Platform, or Databricksks.


Qualifications:
  • Bachelor's degree in computer science or related field;
  • Master's degree is a plus4 year of relevant work experience
  • Meaningful experience with at least two of the following technologies: Python, Scala, SQL, JavaCommercial client-facing project experience is helpful, including working in close-knit teams

Senior Data Engineer
Mid-Senior-level Service | Information | Information Technology Full-time Engineering | Information Technology 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.