Key Responsibilities:

• Design, build, and maintain scalable data pipelines for AI models and applications.
• Work closely with data scientists to prepare structured and unstructured datasets.
• Develop and maintain cloud-based data infrastructure on platforms like AWS, Azure, or GCP.
• Collaborate with software engineers and DevOps teams to integrate data pipelines into back-end systems.
• Ensure data quality and integrity through automated validation processes.

Requirements:

• Bachelor’s or Master’s degree in Data Engineering, Computer Science, or related field.
• Strong experience with cloud platforms (AWS, Azure, or GCP) and containerization tools.
• Proficiency in Python and working knowledge of AI tools and frameworks.
• Experience in ETL processes, data modeling, and data management best practices.
• Ability to thrive in a fast-paced, innovative environment.