Overview
On Site
Full Time
Skills
Data engineering
Big data
Customer facing
Amazon S3
Data modeling
Version control
Release management
Production support
Job scheduling
Data quality
Computer science
Electronic engineering
Electrical engineering
Information systems
Software development
SQL
Python
Data Analysis
Amazon EC2
FOCUS
Management
Data
Design
Apache Hadoop
Amazon Web Services
Electronic Health Record (EHR)
Apache Hive
PySpark
Cloudera Impala
Apache Spark
Apache Pig
Hue
ERwin
Privacy
Kerberos
LDAP
Software deployment
Extract
transform
load
Reporting
Writing
Apache Oozie
Cloud computing
Policies
Innovation
AIM
Electronics
Law
Job Details
Position Summary
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.
Role and Responsibilities
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. Translate complex functional and technical requirements into detailed design. Perform Hadoop technical development and implementation. Load from disparate data sets by leveraging various big data technology, including AWS EMR, S3, Hadoop, hive and pyspark. Pre-process and support queries using Hive, Impala, Spark, Presto and Pig. Design and implement data modeling using hive/presto, Hue and Erwin Data Modeler. Maintain security and data privacy in an environment secured using Kerberos and LDAP. Perform high-speed queries using in-memory technologies including Spark. Follow and contribute best engineering practice for source control, release management, and deployment. Provide production support, job scheduling and monitoring, ETL data quality, and generate data freshness reporting.
Requirements: Bachelor's degree in Computer Science, Electronic Engineering, Electrical Engineering, Information Systems Technology, or a related field and 5 years of progressive, post baccalaureate experience as Engineer III, Data Engineering or related occupation in the Big Data software development engineering. Of the 5 years of experience must have included:
Experience in writing complex SQL queries, and high-performance, reliable and maintainable code; Experience with Python development for data analysis and data modeling; Experience with Hadoop, including Hive, Spark, Impala, Pig, and Oozie; and Experience with AWS/Cloud components, including EC2, S3, and EMR.
#LI-DNI
Skills and Qualifications
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At Samsung, we believe that innovation and growth are driven by an inclusive culture and a diverse workforce. We aim to create a global team where everyone belongs and has equal opportunities, inspiring our talent to be their true selves. Together, we are building a better tomorrow for our customers, partners, and communities.
* Samsung Electronics America, Inc. and its subsidiaries are committed to employing a diverse workforce, and provide Equal Employment Opportunity for all individuals regardless of race, color, religion, gender, age, national origin, marital status, sexual orientation, gender identity, status as a protected veteran, genetic information, status as a qualified individual with a disability, or any other characteristic protected by law.
Reasonable Accommodations for Qualified Individuals with Disabilities During the Application Process
Samsung Electronics America is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application process. If you have a disability and require a reasonable accommodation in order to participate in the application process, please contact our Reasonable Accommodation Team ) or for assistance. This number is for accommodation requests only and is not intended for general employment inquiries.
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.
Role and Responsibilities
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. Translate complex functional and technical requirements into detailed design. Perform Hadoop technical development and implementation. Load from disparate data sets by leveraging various big data technology, including AWS EMR, S3, Hadoop, hive and pyspark. Pre-process and support queries using Hive, Impala, Spark, Presto and Pig. Design and implement data modeling using hive/presto, Hue and Erwin Data Modeler. Maintain security and data privacy in an environment secured using Kerberos and LDAP. Perform high-speed queries using in-memory technologies including Spark. Follow and contribute best engineering practice for source control, release management, and deployment. Provide production support, job scheduling and monitoring, ETL data quality, and generate data freshness reporting.
Requirements: Bachelor's degree in Computer Science, Electronic Engineering, Electrical Engineering, Information Systems Technology, or a related field and 5 years of progressive, post baccalaureate experience as Engineer III, Data Engineering or related occupation in the Big Data software development engineering. Of the 5 years of experience must have included:
Experience in writing complex SQL queries, and high-performance, reliable and maintainable code; Experience with Python development for data analysis and data modeling; Experience with Hadoop, including Hive, Spark, Impala, Pig, and Oozie; and Experience with AWS/Cloud components, including EC2, S3, and EMR.
#LI-DNI
Skills and Qualifications
* Please visit Samsung membership to see Privacy Policy, which defaults according to your location. You can change Country/Language at the bottom of the page. If you are European Economic Resident, please click here .
At Samsung, we believe that innovation and growth are driven by an inclusive culture and a diverse workforce. We aim to create a global team where everyone belongs and has equal opportunities, inspiring our talent to be their true selves. Together, we are building a better tomorrow for our customers, partners, and communities.
* Samsung Electronics America, Inc. and its subsidiaries are committed to employing a diverse workforce, and provide Equal Employment Opportunity for all individuals regardless of race, color, religion, gender, age, national origin, marital status, sexual orientation, gender identity, status as a protected veteran, genetic information, status as a qualified individual with a disability, or any other characteristic protected by law.
Reasonable Accommodations for Qualified Individuals with Disabilities During the Application Process
Samsung Electronics America is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application process. If you have a disability and require a reasonable accommodation in order to participate in the application process, please contact our Reasonable Accommodation Team ) or for assistance. This number is for accommodation requests only and is not intended for general employment inquiries.