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  • Posted: Apr 1, 2021
    Deadline: Not specified
  • Launched in 2006, Amazon Web Services (AWS) began exposing key infrastructure services to businesses in the form of web services -- now widely known as cloud computing. The ultimate benefit of cloud computing, and AWS, is the ability to leverage a new business model and turn capital infrastructure expenses into variable costs. Businesses no longer need to pl...
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    Senior Cloud Support Engineer (Big Data)

    The Big Data role supports our services that leverage data and produce business insights, which may include using Machine Learning/Artificial Intelligence (ML/AI). Helping our customers use and integrate Big Data services in what is arguably our industry’s most exciting space. The portfolio of services covers EMR (Hadoop), DynamoDB (NoSQL), ElasticSearch, Kinesis, Athena, ML/AI & more.

    To qualify for this role, you should have the following experience:

    • 7+ experience in Apache Hadoop, Apache Spark, Apache Hive, and Presto.
    • 7+years of experience in DynamoDB or NoSQL technologies like MongoDB or Cassandra.
    • Experience running and troubleshooting various types of machine learning (supervised, unsupervised and reinforcement learning) and deep learning frameworks (tensorflow, mxnet) issues.
    • Foundation knowledge of databases and Structured Query Language (SQL).


    • Demonstrable knowledge and experience in various Big Data or distributed systems. Such as Hadoop, NoSQL, Search and Streaming.
    • Demonstrated ability in Data Lake architecture and administration.
    • Experience utilising data analysis techniques such as quantitative or qualitative analysis
    • Ability to work in a fast paced and agile development environment. Lead technical discussions on big data systems architecture and design.

    These qualifications are optional, but please highlight them on your resume if you have them:
    Experience managing full application stacks from the OS up through custom applications.
    Knowledge of AWS and Computing concepts (preferred experience with AWS Elastic Beanstalk, AWS CloudFormation or AWS OpsWorks).
    Good understanding of security best practices.
    Good understanding of distributed computing environments and methodologies.

    Amazon is an equal opportunities employer, and we value your passion to discover, invent, simplify and build. We welcome applications from all members of society irrespective of age, sex, disability, sexual orientation, race, religion or belief. Amazon is strongly committed to diversity and Employment Equity within the workplace and the further diversification of ideas. In this regard, the relevant laws and principles associated with Employment Equity will be considered when appointing potential candidates. We are required by law to verify your ability to work lawfully in South Africa. Amazon requires that you submit a copy of either your identity document or your passport and any applicable work permit if you are a foreign national, along with an updated curriculum vitae.

    Method of Application

    Interested and qualified? Go to Amazon Web Services on to apply

    Note: Never pay for any training, certificate, assessment, or testing to the recruiter.

  • Send your application

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