JOB DESCRIPTIONS

• Collaborate with AI/ML Engineers to design and maintain data pipelines (ETL/ELT) from ERP, IoT, and production systems.
• Clean, transform, and structure data for machine learning and analytics.
• Manage data storage, processing, and retrieval in Data Warehouse or Data Lake environments.
• Conduct exploratory data analysis and statistical modeling to support AI initiatives.
• Ensure data quality, integrity, and compliance with company standards.
• Translate business requirements into data-driven solutions in collaboration with IT and business stakeholders.
• Monitor and optimize data workflows for performance and scalability.
• Document data processes and model workflows for maintainability.

REQUIREMENTS

• Bachelor’s degree in Computer Science, Information Technology, Data Science, or a related field.
• Minimum 2-3 years of hands-on experience in Data engineering, Data integration, or a similar data-focused role.
• Strong proficiency in SQL and Python, with experience using data manipulation libraries such as Pandas and PySpark.
• Proven experience in designing and implementing ETL/ELT pipelines and automating data workflows.
• Familiarity with cloud platforms such as Azure, AWS, or Google Cloud Platform (GCP), including cloud-based data storage and processing tools.
• Experience working with APIs, relational and NoSQL databases, and large-scale data processing systems.
• Solid understanding of data modeling, schema design, and data governance best practices.
• Strong analytical and problem-solving skills, with the ability to work both independently and in cross-functional teams.
• Good English communication.