Join NTT DATA, a global leader in technology services, and contribute to innovative AI and digital solutions. We are seeking a skilled Data Engineer with expertise in AWS SageMaker and Bedrock to drive our data initiatives.

This role offers the opportunity to work with cutting-edge AI/ML technologies and large-scale data platforms. You'll be instrumental in developing and deploying advanced solutions that have a real-world impact.

Become part of an inclusive, forward-thinking organization committed to client success and societal advancement. We foster a collaborative environment where your growth is a priority.

Develop and implement robust ETL/ELT pipelines leveraging AWS services like Glue and Redshift.

Design, build, and maintain data warehouses and data models, with a focus on dimensional modeling.

Collaborate with Data Science and ML Engineering teams to integrate AI/ML models into production environments using AWS SageMaker and Bedrock.

Contribute to the development of GenAI, LLMOps, RAG pipelines, and AI agents.

Ensure data quality, security, and compliance with regulatory requirements.

Troubleshoot and resolve complex production data issues, ensuring system reliability and scalability.

A minimum of 10 years of experience in Data Warehousing/BI technologies is required.

Proven expertise in AI/ML solutioning with Amazon SageMaker and AWS Bedrock is essential.

Hands-on experience with Snowflake and dbt (dbt Cloud/Core) for analytics engineering is a must.

Proficiency in Python and SQL for data manipulation and analysis.

Experience supporting enterprise-scale AI/ML platforms and a strong understanding of MLOps principles.

Excellent analytical, problem-solving, and communication skills are crucial for collaborating across diverse technical teams.