Big Data Engineer

A global leader in consulting, technology services and digital transformation, Capgemini 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. It is a multicultural company of over 200,000 team members in more than 40 countries. The Group reported 2018 global revenues of EUR 13.2 billion (about $15.6 billion USD at 2018 average rate).

Visit us at www.capgemini.com. People matter, results count.

Role: Big Data Engineer

Location: North Carolina 

Position: Full time

Job Description

• Creation of data products for all consumers business users analysts and modelers 


• Explore and understand data sets Visualize the data set determine whether the data set has enough information to answer the question that the business is asking 


• Work with IT support to create ETL 


• ELT interfaces to the data lake and create and visualize the data and data products on the data lake 


• Implement required data transformation in the data lake 


• Configure required security and data masking to a data set Support testing of data acquisition data set correlation and or model development 


• Investigate and resolve interface issues 


• Work with IT to harden and productionize the model interfaces and business procedures 

Required

• Master's/Bachelor's Degree in one of the following Engineering Statistical Analytics Data Science or Actuarial Science 


• At least 3-5 years of relevant work experience in implementing data and analytics projects 


• The resources must have domain technical experience in delivering data engineering solutions using data lake technology 


• Experience with the following Hadoop CDH relational databases and SQL ETL development spark data validation and testing Data Warehousing 


• ETL ELT to the Data Lake Using the Data Lake for data analysis Hadoop tools Hive Impala Pig Sqoop Hue Kafka etc Python R java Docker Dakota 


• Knowledge of Cloud platform implementation Azure or Amazon 


• Knowledge of data visualization tools is a plus 


• Tableau on multiple platforms along with Python visualization in the Data Lake using Pandas and bokeh packages 


• Excellent written verbal and interpersonal skills a must as there will be significant collaboration with the business and IT 


• Experience with collaborative development workflows e g Microsoft VSTS TFS Bamboo Github
  
   

• 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.