AWS Sagemaker/ Bedrock, Data Engineer, ETL, Snowflake

NTT DATA, Inc.; Hyderabad; On-site; INR 2,500,000 - 4,000,000; Full time

Job summary

NTT DATA Services in Hyderabad, India, seeks an experienced AWS Sagemaker/Bedrock Data Engineer for ETL, Snowflake, and modern AI/ML integration. 8+ years in data warehousing and BI with exposure to AI/ML solutioning using AWS tools.

Collaborate across Data Engineering, Data Science, ML Engineering, Cloud, and DevOps to deliver scalable, governance-aware pipelines. AWS certification is a plus; healthcare data experience is beneficial.

Qualifications

• Over 8+ years on DWH/BI technology with exposure to AI/ML solutioning using AWS Sagemaker and Snowflake.
• Bachelor's or Master's degree in CS/Engineering/Data Science/IT or related field is required.

Responsibilities

• Design and implement robust data pipelines for AI/ML workloads.
• Collaborate across Data Engineering, Data Science and ML Engineering teams to deliver scalable solutions.

Skills

DWH/BI technology

AI/ML solutioning

Stakeholder management

Automation

Data pipeline optimization

Education

Bachelor's or Master's degree in Computer Science, Engineering, Data Science, Information Technology, or a related field

Tools

dbt Cloud/Core

Snowflake

SageMaker

Bedrock

AWS

Python

SQL

Docker

Terraform

Job description

Company: NTT DATA Services

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us.

We are currently seeking a AWS Sagemaker/ Bedrock, Data Engineer, ETL, Snowflake to join our team in hyderabad, Telangana (IN-TG), India (IN).

• ovearll 8+ years on DWH/BI technology experince with exposure on Ai&ML solutioning with Amazon Sagemaker, AWS Bedrock, DBT and snowfalke experience.
• Bachelor's or Master's degree in Computer Science, Engineering, Data Science, Information Technology, or a related field.

AWS certification is a plus.

Experience supporting enterprise-scale AI/ML platforms.

Experience with healthcare/clinical data or Carepath-related applications is a plus.

Experience with data governance, security, privacy, and regulatory requirements.

Experience with GenAI, LLMOps, RAG pipelines, vector databases, or AI agents is desirable.

Key Competencies

• Strong analytical and problem-solving skills.
• Ability to work across Data Engineering, Data Science, ML Engineering, Cloud, and DevOps teams.
• Strong communication and stakeholder-management skills.
• Ability to troubleshoot complex production issues.
• Strong focus on automation, scalability, reliability, and operational excellence.
• Ability to translate business and AI/ML requirements into scalable technical solutions.

Primary Technology Stack

• Data & DWH: Snowflake, SQL, Data Warehousing, ETL/ELT, Dimensional Modeling, Data Quality
• Analytics Engineering: dbt, dbt Cloud/Core
• Cloud: AWS, S3, Glue, Redshift, Lambda, SageMaker, CloudWatch, bedrock
• Programming: Python, SQL
• AI/ML: Machine Learning, MLOps, Model Deployment, Model Monitoring, Model Governance
• AI Observability: Fiddler Exchange
• DevOps: Git, CI/CD, Docker, Terraform
• Advanced AI: Generative AI, LLMs, RAG, LLMOps - preferred

About NTT DATA

NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners.NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D.

Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees.

NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here . If you'd like more information on our EEO rights under the law, please click here . For Pay Transparency information, please click here .

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