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Graduate Internship _Data Engineer
Singapore
Dell provides the technology that transforms the way we all work and live. But
we are more than a technology company ??? we are a people company. We inspire-
challenge and respect every one of our over 100-000 employees. We also provide
them with unparalleled growth and development opportunities. We can`t wait for
you to discover this for yourself as a graduate intern on our Data Engineering
team in Singapore.
Transforming raw data into insight. Predicting the future through analysis.
These are our core strengths as a groundbreaking organization changing the
world through technology. Our Data Intelligence Engineering team applie
science to data to predict and model future outcomes. Our engineers lead th
way in developing new methods of generating meaning from data ??? developing ne
environments- methodologies- processes- tools and data governance structures
They also propose strategic or tactical plans based on business data an
market trends.
Key Responsibilities
Partner with internal stakeholders to identify business problems and articulate Data Science and Engineering opportunities to apply statistics- machine learning- optimization- and/or simulation. See beyond the data to propose and build state-of-the-art solutions that will raise the bar for optimal decision making.
Builds data pipelines focusing on data ingestion- integration- modeling- optimization- and quality for AI processing
Explores data for pattern detection prior to algorithm development. Prepares and pre-processes data utilized in algorithms. Ensures data is formatted and cleansed for AI processing.
Drives use and adoption of new data sources and data partnerships.
Apply your expertise of research to develop statistical models- machine learning models- optimization models- and simulation models for inventing and expanding Data Science Engineering capabilities across all the business functions.
Instrument the product- engineering- and business ecosystem by building analytical descriptive models and statistical predictive models to support and improve business decision making.
Essential Requirements
Be able to extract data from existing sources and build a data warehouse to perform analysis
Familiar with MySQL- Python/R and PySpark.
Knowledge of advanced statistical modeling- testing- data mining- and data science techniques
Advanced Excel and PowerPoint skills required and Experience with Power BI and other data visualization is preferred
Strong scientific approach to problem-solving and excellent organizational- analytical and problem-solving skills
Ability to communicate complex results in a simple and concise manner at all levels within the organization
Good communication skills
Basic understanding of the B2B business model and marketing and sales activities would be a plus
Benefits
We offer highly competitive salaries- bonus programs- world-class benefits-
and unparalleled growth and development opportunities ??? all to create a
compelling and rewarding work environment.
If you can analyze complex business problems and inform key decision-making-
this is your opportunity to develop with Dell.
Dell is committed to the principle of equal employment opportunity for all
employees and to providing employees with a work environment free of
discrimination and harassment. All employment decisions at Dell are based on
business needs- job requirements and individual qualifications- without regard
to race- color- religion or belief- national- social or ethnic origin- sex
(including pregnancy)- age- physical- mental or sensory disability- HIV
Status- sexual orientation- gender identity and/or expression- marital- civil
union or domestic partnership status- past or present military service- family
medical history or genetic information- family or parental status- or any
other status protected by the laws or regulations in the locations where we
operate. Dell will not tolerate discrimination or harassment based on any of
these characteristics. Learn more about Diversity and Inclusion at Dell here.
Job Family: Engineering Internships Student Job ID: R040085