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Data analytics architect - Hadoop ecosystemSamsung SDSA • San Jose, Arizona, United States
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Data analytics architect - Hadoop ecosystem

Samsung SDSA
  • US
    San Jose, Arizona, United States
  • US
    San Jose, Arizona, United States
Jetzt Bewerben

Über

Data analytics architect - Hadoop ecosystem Full-time
Our Employees Are Among The Most Talented People In Their Fields And The Key To Our Success
At Samsung, we encourage our employees to showcase their talent through our diverse corporate culture. Our strength is our people. Each individual makes an impact to the company and plays a vital role in contributing to the company’s success. Our employees are motivated and passionate. We foster innovative thinking through an enthusiastic work environment. Through synergistic collaboration with other brilliant minds, we build some of the most advanced technology.
In order to retain our talented workforce, we provide an excellent benefits package. We encourage a healthy work-life balance so that our employees are satisfied and more productive. We focus on developing our employees by providing them with the right tools and empowering them to succeed. Employee development is a key component of the continuing growth of our business. Our employee development programs help to create a workforce that is well-rounded.
We are seeking a senior software architect with at least 8 years of experience in designing scalable, distributed systems to join the
Data Analytics Team.
This role is expected to provide architectural guidance to the analytics team as it builds and evolves a Big Data Platform, and as analytics solutions are instantiated on top of the platform. The architect is expected to be self-driven, take charge in identifying and fixing problems, and excel in a fast changing, growing environment.
Responsibilities:
Collaborate with business analysts and data scientists in eliciting and articulating solution requirements
Design scalable data analytics platform and solutions
Make architectural decisions for the data analytics platform and solutions
Assess, benchmark and select data analytics technologies to be added to the big data platform
Support development lead in determining architecturally significant requirements for data analytics solutions
Provide guidance and mentor developers in the data analytics team
Skills: Required
In-depth knowledge on the Hadoop stack (Map reduce, HDFS, Hive, Pig, Zookeeper)
Experience with Business Intelligence frameworks and ETL tools
Proficiency in the Java programming language
Proficiency in the Unified Modeling Language
Experience with RDBMS and SQL
Experience architecting systems following the REST architectural style
Experience with machine learning methods and libraries (e.g. Weka, Mahout, Sci-kit)
Practical experience with the Scala programming language (desirable)
Practical experience with the Play web framework (desirable)
High-level knowledge on the Spark eco-system
B.Sc. degree in Computer Science, Engineering, Mathematics, Statistics or related field is required
Job Location #J-18808-Ljbffr
  • San Jose, Arizona, United States

Sprachkenntnisse

  • English
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