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.