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Volver | Home   IOT Data Engineer Kimberly-Clark






Since our inception, clients have trusted Korn/Ferry to help them recruit world-class leadership talent. Building on this heritage, today we are a single source for a wide range of leadership and talent consulting services. From our nearly 80 offices in 40 countries, we assist organizations in attracting, developing, retaining and sustaining their people. Services range from executive recruitment to leadership development programs, enterprise learning, succession planning and recruitment process outsourcing. More clients around the world trust Korn/Ferry than any other firm to deliver and develop the best executives to run their organizations, a responsibility we take seriously and work every day to meet with unsurpassed integrity and results. Specialties: Executive Search, Leadership and Talent Consulting, Leadership Consultant, Coaching, Talent Management, Executive Search Consultants, Executive Recruiting


Corrientes 115, Catamarca, Argentina

IOT Data Engineer Kimberly-Clark



Modalidad: Full Time

Remuneracion: $170.800 / $220.000


Lugar de Trabajo: En la Oficina

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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