Senior Big Data Engineer

Requirements

• BA/BS in Computer Science, Management Information Systems or equivalent degree.
• 1-5 Years' Experience
• Programming skills & experience in Java, C++, R, Perl, or Python
• Ability to handle multiple projects and multiple deliverables.
• Strong communication skills.
• Work with company confidential information.
• Teradata database and Aster/Hadoop experience.
• MS degree in Computer Science, Management Information Systems or equivalent degree.
• Skills: Big Data / Bigdata
• Title: Big Data Engineer / Big Data Consultant / Big data Developer
• Teradata database and Aster/ Hadoop experience.

Additional Information

POSTION SUMMARY & KEY AREAS OF RESPONSIBILITY: Key activities will be: - Developing data analytics, data mining and reporting solutions using Teradata Aster and Hortonworks Hadoop. - Working on projects that provide real-time and historical analysis, decision support, predictive analytics, and reporting services. - Leveraging Aster/Hadoop and SQL data platforms, data mining, visualization and machine learning. - Design, development, and support delivery of solutions on Hadoop and Aster Big Data platforms. - Work in a fast-paced agile development environment to quickly analyze, develop, and test potential use cases for the business. - Take valid use cases from ideation through development to production. - Write efficient code to extract, transform, load, and query very large datasets, including unstructured data. - Develop standards and new design patterns for Big Data applications. - Understand MapReduce concepts and master the tools and technology components within the Hadoop and Aster environments. - Help formulate use cases from potentially ambiguous business requirements. - Provide timely communication to business partners on use cases and project status. - Mentor and assist users in accessing the data. - Contribute significantly toward developing a roadmap for Big Data within the existing data warehousing architecture.

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Company Intel

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