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  • Posted: Mar 16, 2020
    Deadline: Not specified
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  • Fuse Universal is unique: A next-generation, mobile-first solution that has turned Learning & Development on its head. By putting business outcomes front and centre stage, Fuse lets companies build a culture of continuous learning that delivers measurable business results.


    Read more about this company

     

    Data Engineer

    The Role

    • You will be working as part of a team in the Engineering department and working closely with the Data Lead in the Product Team. You will be expected to set up & maintain data pipelines, data models and ETL processes. You will be working closely with DevOps on infrastructure requirements and support existing and future data initiatives.

     

    Responsibilities

    • Implement and maintain data pipelines, data modelling and ETL processes in a scalable in reliable way
    • Support your engineering team with software engineering best practices and software tools for data processing and transfer
    • Adhere to the software development and release processes and engineering best practices.
    • Supporting, developing and building metrics to be surfaced on dashboards
    • Ensure data quality through validation and testing
    • Providing support on embedded analytics to our support team (not customer facing).
    • Support tasks to create data sets for analysis.
    • Assist with data-related technical issues and support and work with DevOps to satisfy data infrastructure needs.
    • Guide data storage strategies and ensure compliance with regulations and best practices

     

    Requirements

    • Experience working with and creating data pipelines and related infrastructure
    • Experience with at least one programming language preferably Python, Java, Ruby or similar
    • Experience in designing data architecture for large scale systems
    • Extensive experience with cloud based infrastructure providers such as AWS, Azure or Google Cloud and the tools they provide
    • Knowledge of data warehousing best practices and compliance.
    • Excellent knowledge of SQL and NoSQL database syntax and design
    • Experience with big-data tools such as Hadoop, Spark, Kafka or similar would be highly beneficial
    • Experience in data presentation (ELK, Tableau, etc.)
    • Experience using GoodData or equivalent embedded analytics platform is an advantage

    Method of Application

    Interested and qualified? Go to Fuse Universal on www.linkedin.com to apply

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

  • Send your application

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