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This role is critical in developing and maintaining the data infrastructure necessary to support the factory's digitalization efforts. The primary responsibilities will include collaborating with different teams to gather data, understand process flows and use these insights to develop tools, automation and visualizations to drive data transparency and efficiency in our operations. The Digital Factory Deploy Engineer will be responsible for designing, building, and managing data pipelines and databases to enable data-driven decision-making and process optimization. This role will ensure data integrity, security, and availability while also driving the development of insights through data analysis.
Job Responsibility:
Software Development: Work with other members of Digital Team and other stakeholders to design and develop software solutions and custom applications for manufacturing processes
Deployment and Integration: Implement and integrate software solutions into existing manufacturing environment, ensuring compatibility and minimal disruption to operations
User-Friendly Interface: Design user-friendly interfaces and dashboards for the custom applications to ensure ease of use for blue-collar workers
Data Engineering: Design and implement data pipelines to extract, transform, and load (ETL) data from various manufacturing systems (sensors, machines, various SCADA systems, historians, API's, Machine PLC's, ERP)
Database Administration: Install, configure, and maintain database management systems such as SQL Servers, MySQL, or PostgreSQL. Monitor database performance and optimize queries for efficiency
Documentation: Maintain comprehensive documentation of software and application development, deployment procedures, and user guides
Collaboration: Work closely with cross-functional teams, including data analysts, manufacturing engineers, and blue-collar workers, to understand their needs and incorporate feedback into software development
Training: Provide training and support to end-users to ensure effective use of deployed software and applications
Continuous Improvement: Stay updated with industry trends and best practices to continually improve software solutions and applications
Data Science (Basic to Intermediate): Analyze manufacturing data to identify trends, patterns, and anomalies. Develop and implement basic machine learning models for predictive maintenance or process optimization
System and network understanding: Understanding of network infrastructure as it relates to database functionality
Requirements:
Bachelor's degree in Computer Science, Data Science, or a related field
Proven experience with the use of Microsoft PowerApps and Microsoft PowerBI for creating user applications and various visualizations
Proven experience in software development and deployment, preferably in a manufacturing environment
Proficiency in programming languages (e.g., Python, Java, C++) and software development tools
Proven experience in database administration and data engineering
Strong proficiency in SQL and experience with database management systems
Experience with ETL tools and data warehousing concepts
Familiarity with data visualization tools (e.g., Power BI, Tableau)
Strong problem-solving and analytical skills
Experience with industrial control systems and manufacturing data is a strong plus
Understanding of network protocols
Open to Fresh Grads and With Work Experience
Willing to work in Cavite
Nice to have:
Experience with industrial control systems and manufacturing data is a strong plus