IoT Engineer

2 Months ago • All levels
Software Development & Engineering

Job Description

The IoT Engineer II (Big Data Developer) supports the development of scalable and resilient big data platforms for Cerebrum IoT. This role focuses on building, optimizing, and maintaining big data pipelines and architectures to enable rapid development and deployment of high-impact services within IoT environments. Key responsibilities include defining architecture, building scalable data pipelines for ingesting and processing large datasets, identifying critical data elements, and utilizing the Spark/Hadoop ecosystem to design and enhance data capabilities. The engineer will also contribute to improvements in Data Governance and large-scale data processing best practices, conduct bug fixing and performance tuning, and collaborate with team members.
Must Have:
  • Define architecture and scope
  • Build scalable data pipelines
  • Utilize Spark/Hadoop ecosystem
  • Data quality rule definition
  • Bug fixing and performance tuning

Add these skills to join the top 1% applicants for this job

data-analytics
hadoop
spark

The IoT Engineer II (Big Data Developer) supports the development of scalable and resilient big data platforms for Cerebrum IoT. The role focuses on building, optimizing, and maintaining big data pipelines and architectures to enable rapid development and deployment of high-impact services within IoT environments.

Key Responsibilities

  • Define architecture, scope, and deliver robust Big Data solutions.
  • Build scalable data pipelines for ingesting and processing large datasets.
  • Identify critical data elements and define data quality rules.
  • Utilize Spark/Hadoop ecosystem to design and enhance data capabilities.
  • Contribute to improvements in Data Governance and large-scale data processing best practices.
  • Conduct bug fixing, performance tuning, and data pipeline optimization.
  • Collaborate with and mentor team members to foster technical growth.
  • Ensure compliance with company policies, regulatory standards, and quality guidelines.
  • Support departmental KPIs and team development initiatives (if in a managerial capacity).

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