Responsibilities

• Design, implement, and maintain robust ETL/ELT processes to ingest, clean, and transform data from multiple sources
• Process and manage complex datasets to support business and analytical needs
• Conduct regular testing and enhancement of data pipelines to improve efficiency
• Implement best practices for data validation, testing, and monitoring, proactively identifying and resolving issues to maintain data integrity
• Collaborate with software engineers and AI/ML engineers to ensure seamless data accessibility
• Implement best practices for data governance, security, and quality assurance
• Document data architectures, lineage, and metadata to ensure transparency and reproducibility

Qualifications

• 5+ years of experience in data engineering, ETL development, or data warehousing
• Demonstrated ability to design and manage ETL/ELT processes using tools like Airf...