Data Engineer - Advanced Analytics

Data Engineer - Advanced Analytics

McKinsey Digital
2-5 years
Not Specified

Job Description


Qualifications

  • Bachelor's degree in computer science, engineering, mathematics or another relevant subject
  • 2+ years of experience in big data related software development experience with data modeling, design patterns and building highly scalable and secured solutions
  • Background in development with practical experience with at least one general purpose programming languages (Python, R, C, Java, Scala,etc.)
  • Familiar with big data platforms (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, standard unix/linux operating systems, version control and DevSecOps tool chains, etc.
  • Ability to work with a myriad of data types (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 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 apply your passion for finding opportunities in data by using established tools and techniques or by innovating/building new ones.
In this role, you will collaborate with highly talented business consultants and data-scientists 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 also be an expert in data engineering and advise relevant people at the firm on technical aspects of analytics engagements.
You will shape the future of what data-driven organizations look like, drive processes for extracting and using that data in creative ways, and create new lines of thinking within an infinite number of clients and situations.
Lastly, you'll do meaningful work that makes a real difference with our clients. 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.

Job Details

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Job Source : www.mckinsey.com

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