Data Engineer Advisor
Bangalore Mid-level Data Engineering
At a glance
Mid-level Data Engineering role at NTT DATA. Bangalore.
Pay not stated Data Engineering salary
RoleData Engineering
SeniorityMid-level
LocationBangalore
PostedOct 8, 2026
Role brief
dataroles summary, based on the employer's posting.
What you'll do
- Build Azure pipelines with ADF, Synapse and Microsoft Fabric to move and process data at scale
- Shape Lakehouse platforms for structured, semi-structured and unstructured data, including AI-ready workloads
- Connect Azure Data Lake, Cosmos DB and Azure SQL or Synapse for data engineering solutions
- Support RAG, vector search and Azure AI Search use cases through data pipeline work
- Turn business requirements into production-ready, high-performance data solutions
What you bring
- You have ten years of total experience, including at least six years in relevant work
- You bring hands-on Azure data engineering experience with ADF, Synapse, Microsoft Fabric and ADLS Gen2
- You have worked with Cosmos DB, NoSQL data modelling and AI data pipelines involving RAG, embeddings or vector search
- You can develop in Python and SQL, and have experience with data quality, profiling and Azure DevOps CI/CD
Who this fits
This role suits a mid-level data engineer with deep Azure experience and practical exposure to AI data pipelines. You must be based in Bengaluru or Gurgaon.
From the employer
**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
Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.
Each morning you get everything that fits, strongest first.
Data Engineering
Find me workBy the team behind dataroles.