Intern - Data Engineer [Mexico]

 Our internship program lasts 6 months beginning in September and ending in January. Fast-paced, flexible, fun. The Teradata culture isn’t just about one kind of person. So many individuals make up who we are, making us that much more unique. It’s what sets apart the dynamic, diverse and collaborative environment that is Teradata.

Teradata is where cutting-edge innovations in cloud data management turn into business value. Our outstanding team of software architects and engineers work together to understand and advance emerging technologies to produce the next wave of big data analytic cloud solutions. The backbone of Teradata is its Massively Parallel Processing (MPP) architecture that runs on-premises and in hybrid clouds to manage and optimize sophisticated workloads.

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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

Ability to manipulate JSON/XML data

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