Job Description

Person Specifications

• Currently pursuing or recently completed a Diploma in AI and Data Engineering, or related field.
• Understanding of data governance principles, with a focus on data quality and validation.
• Experience or knowledge in handling data from ERP systems.
• Familiarity with cloud computing environments and services (ex: AWS, Azure, Databricks).
• Basic knowledge of AI and machine learning applications in data processing.
• Proficiency in data analysis and ETL tools (e.g., Python, SQL, Talend).
• Strong analytical and problem-solving skills.
• Effective communication skills and ability to work in a team.
• Attention to detail and commitment to data accuracy and integrity.

• Hands-on experience in data engineering tasks within a global data governance framework.
• Exposure to state-of-the-art cloud computing and AI technologies.
• Skill development in managing and certifying large-scale data sets.
• Mentorship from seasoned data governance and data engineering professionals.
• Contribution to high-impact projects in a multinational environment. Key Responsibilities
• Assist in the development and implementation of data governance frameworks, particularly focusing on data quality and validation.
• Work on extracting, transforming, and loading (ETL) data from ERP, Machine, and Quality systems into centralized databases.
• Engage in cloud computing initiatives, supporting the management of data storage and computational resources across cloud platforms.
• Apply AI and machine learning techniques for data cleaning, validation, and optimization.
• Contribute to the certification and standardization of data, ensuring compliance with both internal and external regulations.
• Collaborate with cross-functional teams to understand and meet data needs.
• Participate in the development and maintenance of data pipelines for efficient data processing.
• Support the documentation, reporting, and auditing of data governance activities.

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