Data analytics architect

Our Employees Are Among The Most Talented People In Their Fields And The Key To Our SuccessAt 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.Job Description

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.Location: San Jose, CA

Qualifications

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;

#J-18808-Ljbffr