IOT Data Engineer Kimberly-Clark
KornFerry
Olivos, Buenos Aires, AR
hace 5 días

Duties and Responsibilities :

  • Build Data Pipelines : Managed the design, creation, maintenance, training, and optimization of data pipelines as workloads move from development to production for specific use cases.
  • Architecting, creating and maintaining data pipelines will be the primary responsibility of the Data Engineer.

  • Drive Automation through effective metadata management : The Data Engineer will be responsible for using innovative and modern tools, techniques and architectures to partially or completely automate the most-common, repeatable and tedious data preparation and integration tasks in order to minimize manual and error-prone processes and improve productivity.
  • Skills and Experience :

  • B.A. or B.S. in Information Technology, Data Science, or related field.
  • The ideal candidate will have a combination of IT skills, data governance skills, data movement skills, IoT skills and business understanding.
  • At least 2 to 6 years or more of work experience in data management disciplines including data integration, modeling, optimization, and data quality with specific focus on IoT related use cases and applications.
  • Ability to design, build and manage data pipelines for data structures encompassing data transformation, data models, schemas, metadata, and workload management.
  • Deep understanding of the full technology stack and can work with emerging and traditional technologies (e.g. Java, JavaScript, Swift, Python, React, Node.
  • js, RESTful services, GraphQL, message brokers (MQTT), JSON, HTML / HTML5, CSS, etc.)

  • Experienced in designing solutions based on cloud architectures using technical components such as : Azure IoT Hub, serverless computing (e.
  • g. AWS Lambda, Azure Functions), compute (e.g. Kubernetes containers), Cloud-based databases (e.g. Azure database), and raw storage (e.

    g. storage blobs, S3, etc.).

  • Experience with Microsoft Azure and the various data services like Synopsis.
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