Lead Data Engineer – Advanced Analytics

29 أكتوبر، 2022

0 37 2 دقائق

Job Description

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

Who You'll Work With
You will be based in our Cairo, Egypt, or Riyadh, Saudi Arabia, office as part of our Advanced Analytics team, partnering with consultants, clients, and other colleagues.
Our Advanced Analytics 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.