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Cloud Data Platform Solution Architect Azure IoT Databricks and Kafka

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Job Location drjobs

Del, OK - USA

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Job Description

Who we are:

Artmac Soft is a technology consulting and serviceoriented IT company dedicated to providing innovative technology solutions and services to the Customers.

Job Description:

Job Title : Cloud Data Platform Solution Architect (Azure IoT Databricks and Kafka)

Job Type : C2C / W2 / 1099

Experience : 15 to 20 years

Location : PHILADELPHIA Pennsylvania

Duration : 6 months

Responsibilities:

  • Extensive experience in solution architecture design and development for cloud data platforms.
  • Strong proficiency in event streaming technologies such as Kafka Azure IoT and Databricks.
  • Handson experience in building and optimizing highperformance data engineering pipelines in Azure.
  • Knowledge of Industrial IoT systems and familiarity with SCADA and MES systems.
  • Proven ability to manage and communicate effectively with stakeholders at all levels.
  • Excellent problemsolving skills and a proactive approach to addressing challenges.
  • Strong organizational skills and attention to detail.
  • Ability to work independently and as part of a team.
  • Lead the solution architecture design and development for a Cloud Data Platform project.
  • Utilize strong experience in event streaming technologies including Kafka Azure IoT and Databricks.
  • Build and manage highperformance data engineering pipelines preferably in Azure.
  • Apply expertise in Industrial IoT and familiarity with SCADA and MES systems.
  • Collaborate effectively with stakeholders to understand requirements and deliver solutions that meet business needs.
  • Ensure the architecture is scalable secure and aligned with industry best practices.
  • Provide technical leadership and mentorship to the development team.
  • Engage in continuous learning and stay updated with the latest technologies and industry trends.
Qualification:
  • Bachelors degree in Computer Science Engineering or a related field.

Employment Type

Full Time

Company Industry

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