Ai data engineer
Our client is seeking a meticulous and skilled AI Data Engineer to join their team in Queenstown. You will be responsible for designing, building, and maintaining robust data pipelines and infrastructure that support our artificial intelligence and machine learning initiatives. This role requires a strong understanding of data warehousing, ETL processes, and big data technologies, ensuring that clean, reliable, and accessible data is available for AI model training and analysis. You will collaborate closely with data scientists and AI researchers to deliver high-quality data solutions.
Key Responsibilities Design, develop, and maintain scalable data pipelines for ingesting, transforming, and storing large volumes of data. Implement ETL/ELT processes using appropriate tools and technologies. Ensure data quality, integrity, and accessibility for AI and machine learning applications. Optimize data infrastructure for performance, scalability, and cost-efficiency. Collaborate with data scientists and AI engineers to understand their data requirements and provide necessary support. Monitor data pipelines and infrastructure, troubleshooting issues as they arise. Requirements Bachelor's degree in Computer Science, Information Technology, or a related quantitative field. Proven experience as a Data Engineer, with a focus on building data pipelines for AI/ML projects. Proficiency in SQL and experience with data warehousing concepts. Experience with big data technologies such as Spark, Hadoop, or similar. Familiarity with cloud data platforms (e.g., AWS S3, Redshift, Azure Data Lake, GCP Big Query). Strong programming skills in Python or Scala. Excellent problem-solving skills and attention to detail. Benefits Competitive salary and comprehensive benefits package. Opportunity to work with cutting-edge AI technologies and large datasets. Professional development and training opportunities. A supportive and collaborative team environment. Contribute to the development of innovative AI solutions.