Data & AI Engineer

Job Summary
Location: United States
Experience: 5+ years in production AI/data systems
Job Type: Permanent
Thinking Minds' client is looking for an experienced Data & AI Engineer to own the data infrastructure that powers reporting and decision-making across their portfolio. This role is crucial for building and maintaining the AWS Redshift data warehouse and the AI layer on top of it. The engineer will work closely with various departments to deliver data-driven solutions, ensuring robust and efficient data management.

Ideal Candidate Should Have
AWS Redshift experience
ETL pipelines expertise
Strong data modeling skills
Experience with AWS Glue, Lambda, or Airflow
Ability to manage data quality and performance
Role Overview
The Data & AI Engineer will be responsible for the end-to-end management of the data stack, from sourcing APIs to delivering AI-driven insights. The role involves designing efficient schemas, maintaining ETL processes, and ensuring data quality and performance. Collaboration with FP&A, Operations, and Marketing is key to understanding data needs and building effective solutions.

Key Responsibilities
Design, build, and maintain the AWS Redshift environment
Develop and manage ETL pipelines
Ensure data quality and build automated validation
Optimize Redshift performance and cost
Collaborate with stakeholders to understand data requirements
Build AI-driven experiences
Top Skills and Modules
AWS Redshift
ETL pipelines
AWS Glue, Lambda, Airflow
Data modeling and schema design
Performance tuning and cost management