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Responsible for designing, building, and maintaining data infrastructure to support data analysis and business decision-making. This role involves automating data processes and integrating data systems within a manufacturing environment, focusing on improving data flow and ensuring data quality. Responsibility: -Plan and design data architecture to ensure efficient storage, processing, and access to data. -Integrate data from various sources, including system and OT devices, ensuring data consistency and integrity. -Maintain and optimize data storage systems such as data warehouses and data lakes, ensuring data security and availability. -Develop and maintain data processing pipelines, automating data collection, processing, and reporting workflows. -Implement data validation and error-checking mechanisms to ensure data quality. -Monitor and optimize the performance of data systems to ensure efficient operation. -Ensure data security and compliance with standards. -Develop data models and perform data modeling tasks. -Execute ETL processes using tools like SSIS. Requirements: -Bachelor’s degree or higher in Computer Science, Data Science, or a related field. -Over 1 year of experience in data engineering. -Proficiency in programming languages such as Python. -Experience with database technologies and SQL. -Strong data modeling abilities. -Experience with ETL processes using tools like SSIS. -Knowledge of data warehousing concepts and data mining. -Understanding of data architecture and data integration techniques. -Experience with data validation and error-checking mechanisms. -Familiar with data security and compliance standards. -Ability to work well in a team and collaborate with various stakeholders. -Problem-solving skills and the ability to think critically and analytically. -Attention to detail and a commitment to data quality. -Ability to manage multiple tasks and prioritize effectively. -Adaptability and willingness to learn new technologies and methodologies.