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Big Data Engineer

Location: Saint Petersburg
Posted on: August 30, 2020

Job Description:

Title Big Data Engineer Mandatory skills Data Engineering, Linux, python, MapReduce development, datasets, Hadoop, HDFS, YARN, Spark, Hive, Kafka, airflow, Apache HBase, AWS big data, ETL pipelines, collect data data scientists, machine learning, big data infrastructure, cloud, data retention, data performance, data manipulation, ingestion tools, sqoop, flume, machine learning development process Description The client network generates a large sum of data each day form of communications data, network device data, log files, customer interaction data, etc. Resource will be architecting a "big data" platform to store, process these data to be used by data scientists and machine learning engineers. You will have the opportunity to work with a small team of data scientists and machine learning engineers to build products and services to improve the state of the client network and elevate the customer experience. You will design, develop, test, and maintain big data infrastructure in the cloud and on-prem locations. You will develop ETL pipelines to collect data from various sources, transform and store them, and enable stakeholders to consume it. You will be developing pipelines to support machine learning application development processes. You will be working with different parts of a large organization to locate, understand, and extract data from a diverse variety of systems and transform them into a big data platform. Monitoring data performance and modifying infrastructure as Define data retention policies Qualifications Minimum Computer Science degree or relevant experience. 5 years of industry experience in Data Engineering not necessarily Telecom Strong experience with MapReduce development for large datasets (Hadoop, HDFS, YARN). Strong background in Linux 5 years of experience in python Industry experience in developing ETL pipelines to manage large datasets. Working knowledge of machine learning development process Preferred Masterrsquos degree in computer science Experience in terabyte scale data manipulation. Experience in ingestion tools such as sqoop, and flume is a plus. Experience in Kafka and airflow is a plus. Processing framework such as Spark and Hive is a plus Experience in Apache HBase is a plus AWS big data certification is a plus VIVA USA is an equal opportunity employer and is committed to maintaining a professional working environment that is free from discrimination and unlawful harassment. The Management, contractors, and staff of VIVA USA shall respect others without regard to race, sex, religion, age, color, creed, national or ethnic origin, physical, mental or sensory disability, marital status, sexual orientation, or status as a Vietnam-era, recently separated veteran, Active war time or campaign badge veteran, Armed forces service medal veteran, or disabled veteran. Please contact us at for any complaints, comments and suggestions. Contact Details Please send your resumes to and one of our recruiter will get in touch with you. VIVA USA INC. 3601 Algonquin Road, Suite 425 Rolling Meadows, IL 60008

Keywords: VIVA USA INC, St. Petersburg , Big Data Engineer, Engineering , Saint Petersburg, Florida

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