AI Data Engineer

Conduct code reviews and provide constructive feedback to team members to ensure code quality and best practices. Problem-Solving: Ability to troubleshoot issues and provide solutions related to data pipelines and performance.

AI Data Engineer
Location:
Plano, TX (Onsite from Day 1)
Max Rate: ***/hr
Mandatory Skills:
Strong knowledge of AI and Generative AI Architecture.
Snowflake Expertise: Deep understanding of Snowflake's features, architecture, and best practices.
SQL Proficiency: Strong SQL skills for querying, data manipulation, and transformation.
Cloud Computing: Exposure to Azure Data is a plus.
Data Modeling: Ability to design and implement efficient data models within Snowflake.
Data Integration: Experience with data ingestion, transformation, and loading processes.
Problem-Solving: Ability to troubleshoot issues and provide solutions related to data pipelines and performance.
Communication and Collaboration: Ability to work effectively with various teams and stakeholders.
Upskill: Willing to engage in migration projects that involve learning new technologies.
Timing: The individual is expected to work from 2 PM to 11 PM IST(Offshore).
Good to Have :
Design and develop software applications with a focus on AI and Generative AI technologies.
Collaborate with r stakeholders to define software requirements and specifications.
Implement robust and scalable AI architectures that enhance the performance and efficiency of software solutions.
Conduct code reviews and provide constructive feedback to team members to ensure code quality and best practices.
Stay updated with the latest trends and advancements in AI and software development.
Participate in troubleshooting and debugging of software issues, ensuring timely resolution.
Document software designs, processes, and technical specifications for future reference.
Mentor junior developers and contribute to their professional growth.