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NTT · Bangalore, KA, IN, India

# Data Engineer Advisor

Bangalore, KA, IN, India Full-time Data & Analytics 

Listed on NTT’s official careers site. Posted October 16, 2026. Check that it is still open and apply there.
[Apply on NTT’s careers site →](https://careers.nttdata.com/global/en/job/NTT1GLOBAL393592EXTERNALENGLOBAL/Data-Engineer-Advisor)

[OpenNash Jobs](https://jobs.opennash.com/) / [NTT](https://jobs.opennash.com/companies/ntt/) / Data Engineer Advisor

## Job description

### India T&M Special Bonus

Candidate required only from Bengaluru or Gurgaon location Key responsibilities
- Design and build scalable Azure data pipelines using ADF, Synapse and Microsoft Fabric
- Develop modern Lakehouse architectures and AI-ready data platforms Engineer solutions for structured, semi-structured and unstructured data
- Work with Azure Data Lake, Cosmos DB and Azure SQL/Synapse Support AI use cases including RAG, vector search and Azure AI Search
- Collaborate with business stakeholders to translate requirements into data solutions
- Deliver production-ready, high-performance data engineering solutions Key experience required
- 10 years total & 6+ years relevant experience
- Strong experience as an Azure Data Engineer Hands-on expertise with ADF, Synapse, Microsoft Fabric and ADLS Gen2 Experience with Azure Cosmos DB and NoSQL data modelling Exposure to AI/GenAI data pipelines, including RAG, embeddings or vector search Strong Python and SQL development skills Experience with data discovery, profiling and data quality frameworks
- Knowledge of CI/CD and Azure DevOps practices

## At a glance
- Posted by the employer: Oct 16, 2026
- First seen by OpenNash: Oct 19, 2026
- Last checked: Oct 19, 2026
- Listed for: 3 days
- Location: Bangalore, KA, IN, India
- Employment type: Full-time[Apply on NTT’s careers site →](https://careers.nttdata.com/global/en/job/NTT1GLOBAL393592EXTERNALENGLOBAL/Data-Engineer-Advisor)

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OpenNash lists jobs from employers’ own careers sites and does not handle applications.
Dates come from the employer where stated; “first seen” and “last checked” are our own observations.

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