AI Data Engineer

Build and maintain data ingestion and transformation pipelines. Write SQL and Python code to process, validate, and prepare data. Help organize data into trusted, reusable datasets for reporting and analytics. Support data quality checks, issue investigation, and pipeline monitoring. Assist with developing and testing AI and machine learning solutions. Work with cloud services and tools for data storage, processing, and model development. Document data flows, code, and technical processes. Collaborate with data engineers, architects, analysts, and business partners. Follow established standards for data security, governance, and software development. Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related field, or equivalent practical experience. Foundational experience with SQL and Python through coursework, projects, internships, or work experience. Understanding of databases, data structures, and basic data processing concepts. Interest in cloud data platforms and artificial intelligence. Willingness to learn new tools and technologies. Exposure to a cloud platform such as Google Cloud, AWS, or Azure. Familiarity with data warehouses, ETL/ELT pipelines, or orchestration tools. Experience with Git and basic software development practices. Exposure to machine learning concepts or AI tools. Familiarity with data quality, metadata, or data governance concepts.