Big Data Engineer
- Bachelor's degree in Computer Science or equivalent
- 5+ years of experience with data warehouse technical architectures
- Experience working in IoT a must. Ideally Industrial IoT
- ETL/ELT, analytic tools and data structures
- Experience with relational and star schema data modeling concepts
- Familiarity with big data technologies, like Hadoop and AWS
- Familiarity with advanced analytic tools, such as Anaconda and Spark
- Strong programming skills in Java, Python, Ruby or similar
- Familiarity with reporting tools like OBIEE or Tableau
Who You'll Work With
You will work with the Internet of Things (IoT) team in one of our North American offices. You will have the ability to leverage other areas of Digital McKinsey including the agile prototyping as well as the data engineering experts and digital design specialists to provide a differentiating and distinctive service. You will be a core member of the McKinsey consulting team with responsibilities that range from shaping and implementing strategic technology products to ensuring that McKinsey's craft stays on the leading edge of technology.
Digital McKinsey brings together the best of McKinsey's digital capabilities—drawing from our Business Technology Office, McKinsey Digital Labs, and our digital functions and combining them in one cohesive organization. Digital McKinsey not only advises but also builds, operates, and transfers capabilities to help our clients use digital technology to transform their businesses.
McKinsey's IoT Digital aims to help clients unlock the enormous potential of the Internet of Things. Our value proposition spans the full product life cycle, ranging from data diagnostic to pilot, strategy, solution implementation, and ongoing operation. We view IoT as a transformative opportunity for clients across almost all sectors. Our goal is to collaborate with clients to define and deliver on this transformation. This requires a hand on approach and practical understanding of the challenges and opportunities involved in IoT. We are building capability that spans strategy, product design, digital design, hw and sw design, analytics, business planning and implementation.
What You'll Do
You will be responsible for architecting, developing and deploying a wide range of real-time applications, both on-premise and in the cloud.
You will be designing complex analytics solutions with large data sets on distributed systems and you will be providing thought leadership for our clients to help them understand the data analytics landscape. You will have a real passion for big data technologies and a deep knowledge of real-time analytics and SQL & NoSQL databases, as well as applying machine learning algorithms on large data sets.
Meet Some of McKinsey's Employees
Danielle is one of the leaders of McKinsey’s business with retail and consumer clients. She oversees client projects and helps her teams and her clients utilize McKinsey’s resources.
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