Data Engineer

Short Description

Capgemini is looking for a Data Engineer who is highly proficient in SQL Python or R PLUS proficient in building ML workflows in Spark.

Job Description

Job Description:
  • Able to think critically about data where it comes from what is represents how to restructure it and how to apply probability statistics and machine learning to solve a business challenge
  • Able to discuss business challenges and identify analytic opportunities with non-technical business leads
  • Highly proficient in SQL Python or R PLUS proficient in building ML workflows in Spark
  • Key Responsibilities Work with business lines to identify refine and solve business challenges through data science
  • Diagnose and develop analytic frameworks and building blocks that solve common challenges faced by other data scientists e g build products that are used by other data scientists.

Experience:9 to 13 Years

Education level:
Bachelor's degree or equivalent

Data Engineer
Mid-Senior-level Technology | Information Technology | Information Full-time Engineering | Other | Information Technology Data Engineer
With more than 190,000 people, Capgemini is present in over 40 countries and celebrates its 50th Anniversary year in 2017. A global leader in consulting, technology and outsourcing services, the Group reported 2016 global revenues of EUR 12.5 billion. 

Together with its clients, Capgemini creates and delivers business, technology and digital solutions that fit their needs, enabling them to achieve innovation and competitiveness. A deeply multicultural organization, Capgemini has developed its own way of working, the Collaborative Business ExperienceTM, and draws on Rightshore®, its worldwide delivery model.