NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.
We are currently seeking a Data Engineer (AWS, Azure & Microsoft Copilot Studio) to join our team in Bangalore, Karnātaka (IN-KA), India (IN).
Job Description – Data Engineer (AWS, Azure & Microsoft Copilot Studio)
Job Title: Data Engineer – AWS, Azure & Microsoft Copilot Studio Location: India, Remote Employment Type: Full-Time / Contract Experience: Minimum of 5+ Years Domain Preference: Healthcare, Life Sciences, MedTech, or Pharmaceutical
Position Overview
We are seeking a highly motivated and experienced Data Engineer to design, develop, and maintain modern cloud-based data platforms while enabling next-generation artificial intelligence and Microsoft Copilot solutions.
The ideal candidate will have strong hands-on expertise in the AWS data ecosystem, working knowledge of Azure data technologies, and experience developing AI-powered solutions using Microsoft Copilot Studio, Power Platform, Generative AI, and Large Language Models.
The role will be responsible for building scalable data ingestion and transformation pipelines, developing enterprise data models, implementing data governance controls, and integrating enterprise data assets with AI agents, automation workflows, knowledge search solutions, and Generative AI applications.
Data Engineering
- Design, develop, and maintain scalable ETL and ELT data pipelines.
- Build reusable data ingestion frameworks for APIs, relational databases, SaaS platforms, files, enterprise applications, and streaming data sources.
- Develop and optimize data models supporting analytics, reporting, business intelligence, AI, and machine learning workloads.
- Implement data quality checks, reconciliation processes, metadata management, data lineage, and governance controls.
- Support enterprise data lake, lakehouse, and cloud data warehouse initiatives.
- Design efficient batch and real-time data-processing solutions.
- Troubleshoot data-pipeline failures, performance issues, and data-quality defects.
Don't want to miss the next one?
Subscribe to daily email alerts for roles matching your interests.
- Implement automated testing for data pipelines, APIs, and integration workflows.
- Monitor application, pipeline, and infrastructure health, performance, failures, and operational metrics.
- Support development, testing, staging, and production environments.
Experience
- Minimum 5+ years of overall experience in data engineering, cloud engineering, analytics engineering, or a related technology role.
- Minimum 3+ years of hands-on experience working with AWS data technologies.
- Minimum 1+ year of experience working with Azure data technologies.
- At least 1+ year of experience working with Generative AI, Large Language Models, Microsoft Copilot Studio, or AI-powered enterprise applications.
- Experience designing and developing production-grade ETL and ELT pipelines.
- Experience working in Agile or Scrum-based product delivery teams.
- Experience integrating cloud data platforms with APIs, databases, SaaS applications, and enterprise systems.
Programming and Data Engineering Skills
- Strong programming experience with Python.
- Advanced SQL development and query-optimization skills.
- Hands-on experience with PySpark and Spark SQL.
- Strong understanding of data modeling, data warehousing, lakehouse, and data lake concepts.
- Knowledge of batch processing, event-driven architectures, and streaming data patterns.
- Experience implementing data-quality, lineage, governance, and monitoring controls.
AWS Skills
- AWS Glue
- Amazon S3
- Amazon Athena
- Amazon Redshift
- AWS Lambda
- Amazon EventBridge
-
AWS IAM
- Amazon Bedrock, preferred
Azure Skills
- Azure Data Factory
- Azure Synapse Analytics
- Azure Databricks
- Azure Data Lake Storage Gen2
- Azure SQL
- Microsoft Fabric
- Azure OpenAI
- Azure Functions
AI and Microsoft Copilot Skills
- Microsoft Copilot Studio
- Microsoft Power Platform
- Power Automate
- Microsoft Dataverse
- Prompt engineering
- Retrieval-Augmented Generation
- Large Language Model integration
- Enterprise knowledge grounding
- REST API integration
- AI agent and workflow development
Database Skills
- SQL Server
- PostgreSQL
- Snowflake, preferred
- Azure Cosmos DB, preferred
DevOps and Automation Skills
- Azure DevOps
- GitHub Actions
- Git and source-code management
- Terraform or Bicep
- CI/CD implementation
- Monitoring, logging, and deployment automation
Preferred Qualifications
- Experience in the Healthcare, Life Sciences, MedTech, Biotechnology, or Pharmaceutical industry.
- Understanding of regulated-data environments, data privacy, security, and governance requirements.
- Experience integrating enterprise applications such as SAP, Salesforce, ServiceNow, or similar platforms.
- Experience building enterprise AI assistants, conversational agents, or intelligent automation solutions.
- Exposure to Microsoft Fabric and Azure AI Foundry.
- Experience building enterprise knowledge search, semantic search, or document-retrieval solutions.
- Experience working with vector databases, embeddings, and retrieval frameworks.
- Familiarity with Generative AI governance, model evaluation, responsible AI, and security practices.
- Knowledge of cloud cost optimization and FinOps principles.
- Relevant AWS, Microsoft Azure, Data Engineering, Power Platform, or AI certifications.
Key Competencies
- Strong analytical and problem-solving abilities.
- Ability to design scalable, secure, and maintainable enterprise solutions.
- Strong communication and stakeholder-management skills.
- Ability to work effectively across data, application, infrastructure, security, and business teams.
- Ability to translate business requirements into technical data and AI solutions.
- Strong ownership, accountability, and attention to detail.
- Ability to work independently and manage multiple priorities in a fast-paced delivery environment.
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 recruiters will never ask for payment or banking information and will only use @nttdata.com, @nttdatafed.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us.
NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. 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 your EEO rights under the law, please click here. For Pay Transparency information, please click here.
Similar roles you might like
More openings like this one — take a look before you go.
