047121-AI Data Engineer

A Bachelor�s degree in Computer Science, Engineering, Mathematics, or other STEM disciplines or a certificate of completion from a reputable code school or academy. 
24 months of experience working as a Software Developer/Engineer using one or more of the following languages: Python, SQL, R, Java, Julia, Scala, TensorFlow, Matlab.  
The ability to work independently to solve targeted technical problems.  
Experience working with cloud technologies and environments such as AWS (S3/EC2), Azure, Google Cloud and building, deploying, and managing applications within these environments.  
Experience working within a DevOps and/or DataOps environment. Experience building deployment automation, data pipelines, and/or infrastructure-as-code solutions.
To enjoy both doing as well as teaching and helping others � we need people who are articulate, patient and great at communication 
To build trust by demonstrating your value and reliability – we need people who are open, straightforward and sociable. 
To leave ego at the door � we need people who are confident, thick-skinned and good at separating head from heart. 
To be adaptable and to think on your feet � we need people who are creative, energetic and comfortable with uncertainty 
To be a continual learner – we need people who are reflective, thoughtful, detail-oriented, and excited to continually learn and grow 
To be a change agent – we need people who are consistently challenging the status quo of what we are delivering and how we are delivering it and then working constructively with others to bring about improvements  
To be able to work and travel within North America up to 80% of the work week.   

We prefer people who: 
Are considered very technically strong in one or more area. 
Are experienced working with big data distributed programming languages, and ecosystems: Spark, Hadoop, MapReduce, Pig, Kafka 
Are experienced working on deploying large scale data analytics services, solutions, and/or warehouses 
Are experienced with common data science tools such as Python, R, PyTorch, TensorFlow, Keras, NLTK, Spacy, or Neo4j, and a good understanding of modelling platforms (Azure AutoML, SageMaker, DataBricks, DataRobot and H2O.ai)    
Candidates should be flexible / willing to work across this delivery landscape which includes and not limited to Agile Applications Development, Support and Deployment.   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.

 

Responsible for programming and software development using various programming languages and related tools and frameworks, reviewing code written by other programmers, requirement gathering, bug fixing, testing, documenting and implementing software systems.  Experienced programmers are also responsible for interpreting architecture and design, code reviews, mentoring, guiding and monitoring programmers, ensuring adherence to programming and documentation policies, software development, testing and release.

 

 

Required Skills and Experience:

 

  

You assign, coordinate, and review work and activities of programming personnel. Collaborate with computer manufacturers and other users to develop new programming methods. Supervise, train, mentor junior level programmers in programming and program coding. Represent team in project meetings.  Work with business and functional analysts, and software & solution architects in ensuring that programs and systems function as intended Supervise, mentor and manage large teams of programmers in one or more projects. Represent project teams in project/program meetings or in meetings with sponsor. 

 

 

� Qualifications:  6-8 years (2 years min relevant experience in the role), Bachelor�s Degree.

� Must have experience in Software Engineering Techniques, Software Engineering Architecture, Software Engineering Lifecycle and Data Management.
� Should be proficient in Business Analysis, Business Knowledge, Software Engineering Leadership, Architecture Knowledge and Technical Solution Design.

 

 

                    

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
    About Capgemini
  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 200,000 team members in more than 40 countries. The Group reported 2018 global revenues of EUR 13.2 billion.
Visit us at www.capgemini.com. People matter, results count.                                                                              

Ref:

047121

Posted on:

January 9, 2020

Experience level:

Manager

Education level:

Bachelor's Degree (�16 years)

Contract type:

Regular

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