Qualifications
- Bachelor’s degree in Computer Science or equivalent; Master’s degree preferred
- 8+ years Software Technology Client-Facing experience
- Experience with Big Data migrations or IT transformation – (e.g. Datalake, different platform warehouses, etc.)
- Experience with big database systems – Hadoop ecosystem, Cloud technologies (AWS, Google, Azure), In-memory database systems (HANA, Hazel cast, etc.)
- Ability to make assessments of the client data architecture, understanding their platforms and data warehouse
- Comfortable recommending data architecture evolutions based on strategic and business goals
- Ability to assess and recommend data governance strategies and quality and MDM techniques
- Working knowledge of software development tools and methodologies
- Excellent communication and presentation skills with a high degree of comfort in speaking with senior executives at large companies
- Experience with startup or startup like working environment
- Fluent French and English in oral and written
Who You’ll Work WithYou will be based in Casablanca and will be a core member of the Digital McKinsey consulting team.Our development teams are small, flexible and build highly scalable and secured solutions. Our office culture is casual, fun and social, with an emphasis on education and innovation. We have the freedom to try new ideas, experiment and are expected to be constantly learning and growing. There is also a strong emphasis on mentoring others in the group, enabling them to grow and learn.What You’ll DoYou will leverage your strong analytical and problem-solving skills and ability to develop creative and efficient solutions to help design McKinsey’s Big Data platform, .In this role you will be involved in serving large global companies in their efforts to build secure and scalable data architectures. You will help design mission critical digital solutions on big data solutions, and play a key role in counseling clients and knowledge and practice development.Together with your team, you will help clients construct Big Data solutions, providing strategic direction, designing and driving architecture and implementation plan.
