Lead Data Engineer - QuantumBlack, AI by McKinsey

Who You'll Work With

You will be based in our Cairo, Egypt, or Riyadh, Saudi Arabia, office as part
of our QuantumBlack, AI by McKinsey team, partnering with consultants,
clients, and other colleagues.
Our QuantumBlack, AI by McKinsey teams bring the latest analytical techniques
plus a deep understanding of industry dynamics and corporate functions to help
clients create the most value from data.

What You'll Do

You will find opportunities in data by using established tools and techniques,
or by innovating/building new ones.
In this role, you will collaborate with consultants and data-scientist to
design and drive architecture and implementation planning for our clients and
act as a big data evangelist, educating McKinsey's and client's teams on data
engineering topics. You'll actively cooperate with data scientists and digital
consultants to incorporate clients' requirements and impactful analysis into
our data products. You'll advise relevant people at the firm on technical
aspects of analytics engagements.
This is a hybrid client-facing/technical role using state-of-the-art
technologies, whilst also being able to communicate complex intractable ideas
to non-technical audiences.

Qualifications

• Bachelor's degree in computer science, engineering, mathematics or another relevant subject


• ‎5+ years of experience in big data related software development


• Experience with data modeling, design patterns and building highly scalable and secured solutions


• A background in development with practical experience with at least one general purpose programming languages (i.e. Python, R, C, Java, Scala, etc.)


• Familiar with big data platforms like SQL, Teradata, Hadoop, Spark


• Experience preparing data for analytics and following a data science workflow


• Advanced knowledge of data structures and algorithms, networking, operating systems and foundational experience standard unix/linux operating systems, version control and DevSecOps tool chains etc


• Ability to work with a myriad of data types (i.e. structured and unstructured), extracting information from modern and legacy data platforms and identify and perform linkages across disparate data sets


• Meaningful experience in extracting and loading data from multiple database technologies like RDBMS (MS SQL Server, Oracle, MySQL, PostgreSQL), MPP (AWS Redshift, Teradata, Snowflake) and optionally NoSQL (MongoDB, DynamoDB, Cassandra, Neo4J, Titan)


• Experience and interest in Cloud platforms such as AWS, Azure, GCP


• Commercial client-facing project experience is helpful


• Proven record of leadership in a work setting and/or through extracurricular activities


• Ability to work collaboratively in a team environment and effectively with people at all levels in an organization


• Ability to communicate complex ideas effectively, both verbally and in writing, in English; fluency in local office language(s) is a plus