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 www.capgemini.com. People matter, results count.
Title – Senior Data Engineer
Location – Chicago, IL
We are looking for a Senior Data Engineer to be part of our scrum teams and perform functional system development for Hadoop applications for our Enterprise Data Lake initiative This is high visibility fast paced key initiative will integrate data across internal and external sources provide analytical insights and integrate with our critical systems
• Participate in the agile development process
• Develop functional and technical specifications from business requirements for the commercial platform
• Ensure application quality and adherence to performance requirements
• Help create project estimates and plans
• Represent engineering team in project meetings and solution discussions
• Participate code review process
• Work with team members to achieve business results in a fast paced and quickly changing environment
• Pair up with data engineers to develop cutting edge Analytic applications leveraging Big Data technologies Hadoop NoSQL and In memory Data Grids
• Mentor and influence up and down the chain of command Perform other duties and or projects as assigned
• Bachelor s degree in a quantitative field such as Engineering Computer Science Statistics Econometrics and a
• minimum of 10 years of experience
• Minimum 5 years experience working with and developing big data solutions
• Hands on experience on writing shell scripts complex sql queries Hadoop commands and Git
• Ability to write abstracted reusable code components
• Programming experience in at least two of the following languages Scala Java or Python
• Strong business acumen Critical Thinking and Creativity Performance tuning experience
• Experience in developing Hive Sqoop Spark Kafka HBase on Hadoop
• Familiar with Hortonworks Zookeeper and Oozie is a plus
• Willingness to learn new technologies quickly
• Superior oral and written communication skills as well as the willingness to collaborate across teams of internal and external technical staff business analysts software support and operations staff
• Hands on AWS work experience is preferred
What we offer
Your career matters to you and is important to us too. Because your goals and needs are constantly evolving, we offer visibility, leeway and support to help you grow and progress in your career. This approach builds notably on our comprehensive competency framework, our personal development, training and career management programs, and our University innovative and business-focused learning curriculums.
We promote a culture of diversity. We believe working with talented individuals from different backgrounds and points of view is a strategic advantage and an ongoing opportunity. Diversity enriches our creative solutions and adds value for our clients.
With the digital tech sector growing at a rapid pace and women significantly underrepresented in the industry, we are determined to inspire and recruit more women into technology and build diverse teams that reflect the clients we serve.
Our Shared values have been at the heart of the group since our formation. They are honesty, boldness, trust, freedom, team spirit, modesty and fun. These values influence the way we meet client needs while respecting the regulatory requirements of each country in which we operate, and the way we promote ethically sound practices within Capgemini and in our partnerships.
Capgemini is committed to building a workforce of employees with diverse backgrounds and work experiences. We strongly encourage women, veterans and active military service personnel to apply.
Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.
This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship.
Click the following link for more information on your rights as an Applicant – http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law
Applicants for employment in the US must have valid work authorization that does not now and/or will not in the future require sponsorship of a visa for employment authorization in the US by Capgemini.