Data Engineer

• 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.

• 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 & 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.