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Big Data Engineer – Strategic Analytics
Category: Telecommunications
  • Your pay will be discussed at your interview

Job code: lhw-e0-88399348

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Samsung Mobile

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  Job posted:   Tue Apr 17, 2018
  Distance to work:   ? miles
  1 Views, 0 Applications  
Big Data Engineer – Strategic Analytics
**General Description**
Business Unit Description In today's fast evolving technology world, one aspect remains common - reliance on data to drive the next wave of innovation. Strategic Analytics is Samsung's Center-of-Excellence for driving the adoption of data driven decision making and product development across the company. The team's core focus is developing best-in-class solutions that provide Samsung's marketing and service organizations with a 360 degree view of the Samsung customers. Strategic Analytics is powering a paradigm shift at Samsung and the global industry. We are looking for highly technical team members who are passionate about data, have the rigor needed to solve billion dollar problems, and possess an innate entrepreneurial spirit to explore the uncharted. Strategic Analytics combines the engineering backbone of a best-in-class Big Data Platform with the analytic expertise of advanced mining and predictive modeling. If you want to work among the very best talent in the industry, working on the most innovative products in the world, Samsung is the place to be.
**Necessary Skills / Attributes**
Position Summary Big Data Engineers serve as the backbone of the Strategic Analytics organization, ensuring both the reliability and applicability of the team's data products to the entire Samsung organization. They have extensive experience with ETL design, coding, and testing patterns as well as engineering software platforms and large-scale data infrastructures. Big Data Engineers have the capability to architect highly scalable end-to-end pipeline using different open source tools, including building and operationalizing high-performance algorithms. Big Data Engineers understand how to apply technologies to solve big data problems with expert knowledge in programming languages like Java, Python, Linux, PHP, Hive, Impala, and Spark. Extensive experience working with both 1) big data platforms and 2) real-time / streaming deliver of data is essential. Big data engineers implement complex big data projects with a focus on collecting, parsing, managing, analyzing, and visualizing large sets of data to turn information into actionable deliverables across customer-facing platforms. They have a strong aptitude to decide on the needed hardware and software design and can guide the development of such designs through both proof of concepts and complete implementations. Additional qualifications should include:
* Tune Hadoop solutions to improve performance and end-user experience
* Proficient in designing efficient and robust data workflows
* Documenting requirements as well as resolve conflicts or ambiguities
* Experience working in teams and collaborate with others to clarify requirements
* Strong co-ordination and project management skills to handle complex projects
* Excellent oral and written communication skills Job Responsibilities Big Data Engineer: Responsibilities include:
* Translate complex functional and technical requirements into detailed design.
* Design for now and future success
* Hadoop technical development and implementation.
* Loading from disparate data sets. by leveraging various big data technology e.g. Kafka
* Pre-processing using Hive, Impala, Spark, and Pig
* Design and implement data modeling
* Maintain security and data privacy in an environment secured using Kerberos and LDAP
* High-speed querying using in-memory technologies such as Spark.
* Following and contributing best engineering practice for source control, release management, deployment etc
* Production support, job scheduling/monitoring, ETL data quality, data freshness reporting Skills Required:
* 5-8 years of Python or Java/J2EE development experience
* 3+ years of demonstrated technical proficiency with Hadoop and big data projects
* 5-8 years of demonstrated experience and success in data modeling
* Fluent in writing shell scripts [bash, korn]
* Writing high-performance, reliable and maintainablecode.
* Ability to write MapReduce jobs
* Ability to setup, maintain, and implement Kafka topics and processes
* Understanding and implementation of Flume processes
* Good knowledge of database structures, theories, principles, and practices.
* Understand how to develop code in an environment secured using a local KDC and OpenLDAP.
* Familiarity with and implementation knowledge of loading data using Sqoop.
* Knowledge and ability to implement workflow/schedulers within Oozie
* Experience working with AWS components [EC2, S3, SNS, SQS]
* Analytical and problem solving skills, applied to Big Data domain
* Proven understanding and hands on experience with Hadoop, Hive, Pig, Impala, and Spark
* Good aptitude in multi-threading and concurrency concepts.
* B.S. or M.S. in Computer Science or Engineering
**Company Information**
Since being established in 1969, Samsung Electronics has grown into one of the world's leading technology companies and has become recognized as one of the top 10 global brands. Samsung is currently ranked #2 on Forbes' "Most Reputable Tech Companies" for 2016 and #6 on Interbrand's "Best Global Brands" list for 2017.Our network extends across the world, and Samsung takes great pride in the creativity and diversity of its talented people, who drive our growth. As a result of our commitment to innovation and unique design, the Samsung organization is one of the most decorated brands in the electronics industry. Headquartered in Ridgefield Park, N.J., Samsung Electronics America, Inc. (SEA) is a recognized innovative leader in consumer electronics, mobile devices and enterprise solutions. A wholly owned subsidiary of Samsung Electronics Co., Ltd., SEA is pushing beyond the limits of today's technology and providing consumers and organizations with a portfolio of groundbreaking products in appliances, home entertainment, Internet of Things, mobile computing, smartphones, virtual reality, wireless infrastructure and wearables, in addition to offering leading content and services related to mobile payments, 360-degree VR video, customer support and more. Samsung is a pioneering leader in smartphones and HDTVs in the U.S. and one of America's fastest growing home appliance brands. Samsung's philosophy is based on our strong determination for growth, perpetual innovation and responsibility to corporate citizenship. As part of our Samsung Gives philanthropic platform, we offer companywide Days of Service, a volunteer time off program, and an employee giving match program, so our employees can support causes that are closest to their hearts and choose how they want to give back. Since 2002, Samsung has provided more than $46 million to more than 1,000 public schools and community organizations in the United States through its many citizenship initiatives, including the STEAM-education based Solve for Tomorrow Contest. At Samsung we work hard - every day. It is a fast-paced and challenging work environment, and we are a nimble team that constantly pushes ourselves to be the best. If you have energy, passion, dedication and drive, and you thrive in a fast-paced workplace, the rewards at Samsung are many. Apply today and find out why LinkedIn ranked us as one of North America's Most InDemand Employers in 2015. Samsung Electronics America provides Equal Employment Opportunity for all individuals regardless of race, color, religion, gender, age, national origin, marital status, sexual orientation, status as a protected veteran, genetic information, status as a qualified individual with a disability or any other characteristic protected by law.
*Category:* Regular Full-Time
*Full-Time/Part-Time:* Travel Required 10%
*Location:* , Mountain View California, Mountain View California, San Francisco California, Italy

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