Intern - Data Engineer

Key Skills

Aartificial intelligence, Data Architecture, Data Engineering, Data Mining, Machine learning techniques, XML-JSON

Job Description

What You'll Do

• Work with business stakeholders to identify and document high impact business problems and potential solutions
• Learn and use internally available analytic technologies
• Apply machine learning and/or statistical techniques to time series classification and telemetry anomaly detection problems
• Build models at scale using vast amounts of structured and unstructured heterogeneous types of data.
• Identify key performance indicators and establish strategies on how to deliver on these key points for analysis solutions
• Use educational background in data engineering and perform data mining analysis
• Engage in the delivery and presentation of solutions
• Participate in data storage architecture design discussions

Who You'll Work With

You will work with BI analysts/engineers to create prototypes, implementing traditional classifiers and determiners, predictive and regressive analysis points

What Makes You a Qualified Candidate

• Currently pursuing a bachelor’s degree or higher in Computer Science, Computer Science & Engineering, Statistics
• Strong data wrangling skills
• Ability to manipulate JSON/XML data
• Experience with other data manipulation platforms

What You Will Bring

• Ability to commit to a 10-12 weeks internship

LI-Remote

Why We Think You’ll Love Teradata We prioritize a people-first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally. We are an anti-racist company because our dedication to Diversity, Equity, and Inclusion is more than a statement. It is a deep commitment to doing the work to foster an equitable environment that celebrates people for all of who they are.