Offers “Hp”

Expires soon Hp

Data Engineering Intern

  • Internship
  • Houston (Harris)

Job description

Data Engineering Intern

  

Job Description:

   

At HPE, we bring together the brightest minds to create breakthrough technology solutions and advance the way people live and work. Our legacy inspires us as we forge ahead dedicated to helping our customers make their mark on the world.

Learning does not only happen through training. Relationships are among the most powerful ways for people to learn and grow, and this is part of our HPE culture. In addition to working alongside talented colleagues, you will have many opportunities to learn through coaching and stretch assignment opportunities. You’ll be guided by feedback and support to accelerate your learning and maximize your knowledge. We also have a “reverse mentoring” program which allows us to share our knowledge and strengths across our multi-generation workforce.

The ideal candidate will design, develop, apply programs, methodologies and systems based on advanced analytic models (e.g. advanced statistics, operations research, computer science, process) to transform structured and unstructured data into meaningful and actionable information insights that drive decision making. Utilize visualization techniques to translate analytic insights into understandable business stories (eg. descriptive, inferential and predictive insights).  Embed analytics into client’s business processes and applications.  Combines business acumen and scientific methods to solve business problems.   

Responsibilities:

·  Participates in the analysis and validation of data sets/solutions/user experience.
·  Aids in the development, enhancement and maintenance of a client's metadata based on analytic objectives.  May load data into the infrastructure and contributes to the creation of the hypothesis matrix.  Prepares a portion of the data for the Exploratory Data Analysis (EDA) / hypotheses.
·  Contributes to building models for the overall solution, validates results and performance.  Contributes to the selection of the model that supports the overall solution.
·  Supports the research, identification and delivery of data science solutions to problems.
·  Supports visualization of the model's insights, user experience and configuration tools for the analytics model.

Knowledge and Skills:

·  Basic knowledge of data science methodologies.
·  Basic understanding of business requirements and data science objectives.
·  Basic data mapping, data transfer and data migration skills.  Basic understanding of analytics software (eg. R, SAS, SPSS, Python).
·  Basic knowledge of machine learning, data integration, and modeling skills and ETL tools (eg. Informatica, Ab Initio, Talend).
·  Basic communication and presentation skills.
·  Basic data knowledge of relevant data programming languages.
·  Basic knowledge of data visualization techniques.

Education and Experience Required:

·  Bachelor´s degree in Statistics, Operations Research, Computer Science or equivalent.

What we can offer you:

Extensive benefits, a competitive salary and participation in the shared values and purpose that make Hewlett Packard Enterprise one of the world´s most attractive employers! At HPE, our goal is to provide equal opportunities, flexible work-life balance, and constantly evolving career growth.

If you are looking for challenges in an exciting, supportive and international work environment, then we definitely want to hear from you. Continue the conversation by clicking apply now below, or directly via our Careers Portal at www.hpe.com/careers .

Join us and make your mark!

Find out more about us and follow us on:
https://www.facebook.com/HPECareers
https://twitter.com/HPE_Careers

HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT and Affirmative Action employer. We are committed to diversity and building a team that represents a variety of backgrounds, perspectives, and skills. We do not discriminate and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global diverse team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together.

#HPEUnivUS
#University 
#GlobalITUS

Job:
Administration

Job Level:
N/A

    

Hewlett Packard Enterprise is EEO F/M/Protected Veteran/ Individual with Disabilities.

   

HPE will comply with all applicable laws related to the use of arrest and conviction records, including the San Francisco Fair Chance Ordinance and similar laws and will consider for employment qualified applicants with criminal histories.

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