Lead Application Developer - Hadoop - McKinsey Healthcare Analytics,New York

Qualifications

  • 6-10 years of experience in the field of business intelligence, application development, database development and ETL and/or data analysis domains with strong Hadoop, Hive and/or Spark knowledge.
  • Bachelor's degree/Master's Degree/Diploma in IT, Computer Science, Information Systems, Math, Engineering or related discipline
  • 5+ years of enterprise software development experience
  • 3-5 years hands on experience with Python, Java or equivalent
  • Extensive coding & application development abilities
  • Experience in the healthcare industry either payor or provider focused is a plus
  • Able to travel 20% for working sessions and meetings

Who You'll Work With

You'll Work with the McKinsey Healthcare Analytics team in New York. Healthcare Analytics is a part of McKinsey Solutions and McKinsey's New Ventures.

Our Healthcare Analytics group leverages a big-data analytics platform that includes 100 terabytes of integrated claim, encounter, clinical, consumer, and other data. The team consists of 100 dedicated experts and 250 affiliated professionals with industry, advanced analytics, statistics, clinical, and software expertise, all of whom work to design, deliver, and operate advanced analytic tools to help healthcare clients around the world.

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.

McKinsey Solutions is a core part of New Ventures and offers practical tools that help people at all levels of an organization generate insights they need to address both strategic and day-to-day decisions. These solutions complement McKinsey's traditional client service and are delivered in many ways, including subscriptions, workshops, training programs and project-based engagements. We work closely with clients to embed our tools, analytics and expertise, and provide on-going support to help them build the capabilities they need to revolutionize how decisions are made.

What You'll Do

You will collaborate with the product and delivery team on the definition and requirements of an analytics product, within an agile framework.

You are responsible for partnering with domain managers to scope the vision and implementation of analytics, processing and delivery in a healthcare focused cloud system, with emphasis on producing a final product and analytics.

You'll perform the transformation, filtering, and aggregation of raw data into concise, accurate, and focused datamarts, and you will also have exposure and be expected to interact with business users.

You will organize the work of junior colleagues during development of complex products, and mentor them on development best practices.


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