Description

You will design, build, and maintain scalable data architectures and pipelines using AWS Glue, Redshift, and dbt Cloud, while applying AI-assisted development techniques to accelerate delivery and ensure data governance.

This role is on-site.

Responsibilities

• Architect and implement data models and pipelines in Redshift and AWS Glue.
• Develop and manage dbt Cloud models using Jinja, ensuring rigorous testing and governance standards.
• Optimize data performance and reliability across the warehouse and lakehouse environments.
• Leverage AI-assisted tools to streamline SQL and Python development workflows.
• Define and enforce data architecture best practices for scalability and maintainability.

Required Skills

• 10+ years of experience in data engineering and architecture.
• Strong proficiency in SQL and Python for data manipulation and automation.
• Hands-on experience with Amazon Redshift for data warehousing.
• Expertise in AWS Glue for ETL/ELT pipeline development.
• Proficient in dbt Cloud, including Jinja templating and testing frameworks.
• Solid understanding of data modeling principles and performance tuning.
• Experience applying AI-assisted development tools in engineering workflows.

Preferred Skills

• Background in data governance and compliance within large-scale data platforms.
• Experience with distributed computing frameworks beyond Glue.

Key Skills

Education

Any Gradute