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NTT Data

Global IT services and consulting provider.

Data Engineer - Multiple Teams

Data EngineeringConfirmed live in the last 24 hours
Full-timeHyderabad, Telangana, IndiaNo salary listedIn-person

About the Job

Requirements

  • At least 8 years of experience with data warehousing/business intelligence technologies and exposure to AI/ML solutioning using Amazon SageMaker, AWS Bedrock, dbt, and Snowflake.
  • Bachelor's or master's degree in Computer Science, Engineering, Data Science, Information Technology, or a related field.
  • Experience supporting enterprise-scale AI/ML platforms.
  • Experience with data governance, security, privacy, and regulatory requirements.
  • 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.
  • Knowledge of Snowflake, SQL, data warehousing, ETL/ELT, dimensional modeling, and data quality.
  • Knowledge of dbt and dbt Cloud/Core.
  • Knowledge of AWS, S3, Glue, Redshift, Lambda, SageMaker, CloudWatch, and Bedrock.
  • Proficiency in Python and SQL.
  • Knowledge of machine learning, MLOps, model deployment, model monitoring, and model governance.
  • Knowledge of Fiddler Exchange.
  • Knowledge of Git, CI/CD, Docker, and Terraform.

Desired Qualifications

  • AWS certification is a plus.
  • Experience with healthcare/clinical data or Carepath-related applications is a plus.
  • Experience with GenAI, LLMOps, RAG pipelines, vector databases, or AI agents is desirable.

About the Company

NTT Data

Global IT services and consulting provider.

NTT DATA is a global IT and business services provider that helps organizations run and transform their technology and operations. It delivers consulting, industry solutions, cloud migration, cybersecurity, data analytics, and managed services to modernize systems and processes. It differentiates itself through its large scale, deep sector expertise in banking, healthcare, manufacturing, public sector, and automotive, and its broad ecosystem of partners with Microsoft, SAP, AWS, and Salesforce. Its goal is to help large enterprises digitally transform and optimize operations at scale using cloud-native approaches and secure IT environments.

Company size
10,001+
Company stage
IPO
Headquarters
Tokyo, Japan
Founded
1988

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