Intern - Data Engineer

Job Description

Our Team

As the recognized leader in data and analytics, Teradata is all about empowering high-impact business outcomes to unleash the potential of great companies. We focus every day on helping customers build lasting analytic capabilities and drive differentiated value through our flexible delivery of analytics at scale on an agile data foundation. Our mission is to build out the world-class analytics ecosystem for the industry leader for mega-scale Analytics platforms. Teradata is looking for engineers with a passion for taming enterprise data at scale with innovative technologies, built on robust application frameworks, to accelerate delivery and simplify operations. Leverage your skills in building analytics applications to drive Teradata’s business and provide a reference architecture for the future of the Analytics Ecosystem.

Your Opportunity

• 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
• Work with BI analysts/engineers to create prototypes, implementing traditional classifiers and determiners, predictive and regressive analysis points
• Engage in the delivery and presentation of solutions
• Participate in data storage architecture design discussions

Qualifications/Requirements

• 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
• Ability to commit to a 10-12 weeks internship