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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 Carolina
job type: Contract
salary: $54 - 60 per hour
work hours: 8am to 5pm
education: 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: