Integrate factory data and ERP data into on-premises and cloud-based IoT tools to support real-time data collection, analysis, and consumption for the company
Requirements
- Proficiency in SQL and at least one object-oriented language (Python, Java, C-Sharp, etc.)
- Experience with data warehousing in any cloud framework (Azure, AWS, GCP, etc.)
- Experience with Python data structures and data science libraries
- Experience with telemetry or time-series data sources
- Familiarity with pipeline automation and unit testing
- Familiarity with data streaming/integration tools (message brokers, WebSockets, REST APIs, etc.)
Responsibilities
- Design, implement, and operationalize data pipelines to support the data lifecycle for factory IIoT data
- Design, develop, and deliver platforms and tools for optimal extraction, transformation, and loading of factory IIoT data
- Support development and delivery of a Unified Data Model for factories and the enterprise
- Design and deliver solutions for real-time factory data streaming, events & condition monitoring, and predictive maintenance
- Structure data sets for predictive models, clean data, and feed it through ML models
- Support delivery of a master data solution for IIoT and enterprise data
- Provide training and support technical development of fellow team members
Other
- Bachelor’s degree in Data/computer science, an engineering discipline, or related
- Detail oriented self-starter, with a growth mindset and a passion for data
- Ability to handle ambiguity and work in a fast paced, entrepreneurial environment
- May require occasional travel to specified locations
- Must be able to work in a team environment and communicate with business unit partners
