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Junior Data Consultant

Employer
Capgemini
Location
Milwaukee
Salary
Competitive

View more

Industry
Technology
Role
Other
Job Type
Long-Term
Hours
Full Time
**About Capgemini**

Capgemini is a global leader in consulting, digital transformation, technology and engineering services. The Group is at the forefront of innovation to address the entire breadth of clients' opportunities in the evolving world of cloud, digital and platforms. Building on its strong 50-year+ heritage and deep industry-specific expertise, Capgemini enables organizations to realize their business ambitions through an array of services from strategy to operations. Capgemini is driven by the conviction that the business value of technology comes from and through people. Today, it is a multicultural company of 270,000 team members in almost 50 countries. With Altran, the Group reported 2019 combined revenues of ???17billion. Visit us at [](). People matter, results count.

**Job Description:**

Join us as a Jr. Data Consultant to jump start your career at Capgemini in our Financial Services Insights and Data team!

As a new Consultant, you will be our next generation of talent and we will offer you training and a career path to grow your skills in data, consulting, analysis, problem solving, data visualization and cloud. Our Associates work in salaried consulting roles as Data Engineers, Software Engineers, or Data Analysts towards developing, testing and maintaining business applications. Upon completing our initial multi-week training program to enhance your programming, delivery and consultative skills, you will be ready to begin your first project. Our project roles are aligned with our financial services clients on innovative Data, AI, Cloud projects with our customers in banking and insurance. You'll work closely with our management team who will provide you guidance, growth opportunities, tools, and genuine feedback. Capgemini provides an ideal opportunity for bright engineering-savvy minds to apply and grow their talents in real-world applications through modern business solutions.

**Responsibilities:**

- Learn, design, develop, and automate data pipelines in agile environment leveraging commercial and open source technologies such as Cloud offerings, Hadoop, Databricks, Spark, NoSQL, and In-memory Data Grids
- Collaborate with senior data engineers, take initiative, and work individually and in teams
- Develop functional and technical specifications from business requirements
- Perform unit and integration testing, work closely with testing teams to identify root causes of bugs and provide fixes
- Ensure application quality and adherence to performance requirements
- Provide practical and creative data engineering solutions
- Participate in code review process

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