-
ID
#7263596 -
Job type
Contract -
Salary
$54 - 60 per hour -
Source
Randstad Corporate Services -
Date
2020-12-23 -
Deadline
2021-02-21
Big Data Engineer
North Carolina, Charlotte, 28202 Charlotte USAContract
Vacancy expired!
job summary:
Randstad Technologies is hiring and we're looking for someone like YOU to join our team! If you are seeking a new opportunity, looking to grow in your career, or you know someone who is - we want to hear from you! Take a look at the below opportunity, or feel free to visit RandstadUSA.com to view. We're looking for a Big Data Engineer/Developer with specialist experience in Python, Big Data stack (HDFS, Hive, Impala, Spark)Job Duties Include but not limited to the following:- Standing up cutting-edge analytical capabilities, leveraging automation, cognitive and science-based techniques to manage data and models, and drive operational efficiency by offering continuous insights and improvements.- Help with System Integration, Performance Evaluation and Application scalability and Resource refactoring, based on utilizing a thorough understanding of applicable technology, tools such as Python, Spark, Hadoop and existing designs.- Collaborate with team for changes to the architecture, prepare reusable functions and reduce time to market through automated testing.- Use a variety of languages, tools and frameworks to marry data and systems together. Candidates would have 4-6 years of experience in big data stack as well as experience with automated testing, automated deployment and performance monitoring. Should have 10+ years of overall industry experience and prior experience in working with models built on SAS would be welcome. location: Charlotte, North Carolinajob type: Contractsalary: $54 - 60 per hourwork hours: 8am to 5pmeducation: Bachelors responsibilities:We're looking for a Big Data Engineer/Developer with specialist experience in Python, Big Data stack (HDFS, Hive, Impala, Spark)Job Duties Include but not limited to the following:- Standing up cutting-edge analytical capabilities, leveraging automation, cognitive and science-based techniques to manage data and models, and drive operational efficiency by offering continuous insights and improvements.- Help with System Integration, Performance Evaluation and Application scalability and Resource refactoring, based on utilizing a thorough understanding of applicable technology, tools such as Python, Spark, Hadoop and existing designs.- Collaborate with team for changes to the architecture, prepare reusable functions and reduce time to market through automated testing.- Use a variety of languages, tools and frameworks to marry data and systems together. Candidates would have 4-6 years of experience in big data stack as well as experience with automated testing, automated deployment and performance monitoring. Should have 10+ years of overall industry experience and prior experience in working with models built on SAS would be welcome. qualifications:- Experience level: Experienced
- Minimum 7 years of experience
- Education: Bachelors
- Software Engineering
- Python
- Hadoop
Vacancy expired!
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