Data Infrastructure Development: Design and develop scalable data pipelines and architectures to support mass production data needs.
Data Collection and Integration: Implement systems for collecting and integrating data from various production sources.
Data Analysis and Reporting: Collaborate with Process Engineering to analyze production data, generate insights, and create reports to drive process improvements.
Database Management: Maintain and optimize databases to ensure data integrity, security, and accessibility.
Automation: Develop and implement automated data processing and analysis workflows.
Troubleshooting: Identify and resolve data-related issues promptly to minimize production downtime.
Documentation: Create and maintain comprehensive documentation for data processes, systems, and protocols.
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