Data Engineer - Hadoop
- University degree or College diploma in a technical discipline such as computer science, information systems, engineering, mathematics, statistics
- Commercial experience in IT with a focus on databases, knowledge of Hadoop is a plus
- Commercial experience with ETL and SQL/SQL-like languages
- Avid predilection to data management & processing in general
- Strong technical troubleshooting and analytical skills
- Understanding of economic, financial, and general business concepts and terminology
- Experience with Amazon Web Services is a plus
Who You'll Work With
You'll be working in Wroclaw as part of our Journey Analytics Solutions team. Journey Analytics is part of McKinsey New Ventures.
Journey Analytics is a specialist analytics team dedicated to combining analytics, design and consulting frameworks to improve customer experience by understanding, tracking and predicting sequences of events and interactions, to create better outcomes for businesses and customers in a variety of data-rich industries. We do this by merging millions of data points across customers, channels and touchpoints to recreate customers' omni-channel journeys from the bottom-up. Visit us to see what our data scientists have been working on: http://www.mckinsey.com/solutions/journey-analytics
McKinsey New Ventures fosters innovation driven by analytics, design thinking, mobile and social by developing new products/services and integrating them into our client work. It is helping to shift our model toward asset-based consulting and is a foundation for –and expands our investment in –our entrepreneurial culture. Through innovative software as a service solutions, strategic acquisitions, and a vibrant ecosystem of alliances, we are redefining what it means to work with McKinsey.
As one of the fastest-growing parts of our firm, New Ventures has more than 1,500 dedicated professionals (including more than 800 analysts and data scientists) and we're hiring more mathematicians, data scientists, designers, software engineers, product managers, client development managers and general managers.
What You'll Do
You' ll work with large and varied sources of data, and will be responsible for ensuring data quality, designing the data architecture and delivering the data assets that support analytics using a wide range of tools and technologies.
You'll will grow your technical skills by implementing code and scripts (SQL, Hive, Python), and by working with the latest cloud-based technologies (Amazon Web Services, Hadoop). You will also contribute your ideas and innovations to continuously improve or optimize internal processes and approaches.
As an active team member, you'll develop an understanding of the fundamentals of specific analytics-based assets that bring the value of journey analytics to clients and their customers. You'll work on large data sets (terabytes) and contribute to the development, enhancement, and upkeep of specific customer experience analytical tools.
There is flexibility to hire at either the Senior Data Engineer or Data Engineer level depending on the background and qualifications of the candidate.
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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