Data Engineer (AWS, Azure & Microsoft Copilot Studio)

NTT
Bengaluru
Workplace: RemoteFull timeFunction: DevOps, Cloud & InfrastructureExperience: 5+ yearsSkills: ["Collaboration","Problem-solving","Troubleshooting","Data quality focus","Responsible AI practices"]

Design, develop, and maintain modern cloud-based data platforms that power analytics and next-generation AI solutions. Build scalable ETL/ELT pipelines, enterprise data models, and data governance (quality, lineage, metadata). Deliver AWS and Azure data engineering capabilities, integrate data with AI agents and Generative AI using Microsoft Copilot Studio, and support secure, event-driven processing with robust DevOps automation.

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FursaFursa
NTT
NTT
6 days ago

Data Engineer (AWS, Azure & Microsoft Copilot Studio)

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 22 hours agoStatus: Live

Job Summary

Design, develop, and maintain modern cloud-based data platforms that power analytics and next-generation AI solutions. Build scalable ETL/ELT pipelines, enterprise data models, and data governance (quality, lineage, metadata). Deliver AWS and Azure data engineering capabilities, integrate data with AI agents and Generative AI using Microsoft Copilot Studio, and support secure, event-driven processing with robust DevOps automation.
Location: Bengaluru
Workplace: Remote
Employment Type: Full time
Job Function: DevOps, Cloud & Infrastructure
Seniority: Mid level

Key Responsibilities

  • •Design, develop, and maintain scalable ETL/ELT data pipelines and reusable ingestion frameworks for APIs, databases, SaaS, files, and streaming sources.
  • •Develop and optimize data models and support enterprise data lake/lakehouse/cloud data warehouse initiatives for analytics, reporting, BI, AI, and machine learning.
  • •Implement data quality checks, reconciliation, metadata management, data lineage, and governance controls; troubleshoot pipeline failures and performance issues.
  • •Build AWS data solutions using AWS Glue, S3, Athena, Redshift, Lambda, EventBridge, IAM, and (preferably) Bedrock, including serverless and event-driven processing.
  • •Develop Copilot Studio and Generative AI integrations (RAG, workflow automation, connectors) and implement DevOps automation for data/AI pipelines using Azure DevOps and GitHub Actions with Infrastructure as Code (Terraform/Bicep).

Key Requirements

  • •Minimum 5+ years overall experience in data engineering, cloud engineering, analytics engineering, or a related role.
  • •3+ years hands-on experience with AWS data technologies and 1+ year with Azure data technologies.
  • •At least 1+ year experience with Generative AI, Large Language Models, Microsoft Copilot Studio, or AI-powered enterprise applications.
  • •Experience designing and developing production-grade ETL/ELT pipelines.
  • •Strong programming and data engineering skills including Python, advanced SQL, and hands-on PySpark/Spark SQL.
Experience:5+ yearsHealthcareLife sciencesMedtechPharmaceutical
Skills:CollaborationProblem-solvingTroubleshootingData quality focusResponsible AI practices
Tech Stack:AWSAzureMicrosoft Copilot StudioPower PlatformGenerative AILarge Language ModelsETLELTPythonSQLPySparkSpark SQLAWS GlueAmazon S3Amazon AthenaAmazon RedshiftAWS LambdaAmazon EventBridgeAWS Identity and Access ManagementAmazon Bedrock

Company Brief

NTT
Dimension Data, operating under NTT Ltd, provides managed IT services, cloud and data center solutions, networking, cybersecurity, and digital transformation services to enterprise customers worldwide.
Industry: Professional Services
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Established Company
Valuation: Public Company (Market Cap in USD)
Headquarters: London, United Kingdom
Founded: 1983
WebsiteLinkedIn