We are looking for a Data Engineer with a interest in AI, automation, and progress. You will design scalable data platforms that power analytics, AI/ML use cases, and business-critical reporting. You will go beyond traditional ETL鈥攃ombining modern data engineering practices with AI鈥慳ssisted development, automation, and.
- Design, and maintain scalable, production鈥慻rade data pipelines across cloud data platforms (e.g., AWS Redshift, S3, MWAA/Airflow).
- Work as part of a team to build and support a data warehouse, implement solutions using Python to process structured and unstructured data.
- SQL and data to understand and troubleshoot existing complex SQL.
- Partner with Data Science and analytics teams to operationalize data for AI use cases, including feature pipelines, model inputs, and downstream use.
- Apply AI鈥慳ssisted development tools (e.g., code generation, automation, validation) to improve developer productivity and reduce manual effort.
- Participate in production support and incident resolution, with a focus on root cause analysis and prevention
- Contribute to data standards, best practices, documentation, and reusable frameworks that accelerate delivery across teams.
- Participate in a production on-call rotation.