Data & AI Consultant
Bengaluru, KA, IN; Mumbai, MH, IN; Noida, UP, IN
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: FULL_TIME
From the employer’s posting
What you’ll work on
Full postingDesign and deliver generative AI solutions with Azure AI Foundry and Azure OpenAI
Build scalable batch and streaming data pipelines with Azure Data Factory, Event Hubs and Stream Analytics
Migrate and modernize legacy data warehouses and on-premises data estates to Azure
Design lakehouse and medallion architecture using Delta and Parquet formats
From the employer’s posting
Designing and delivering generative AI solutions with Azure AI Foundry, Azure OpenAI and agentic patterns
Building scalable batch and streaming data pipelines using Azure Data Factory, Event Hubs and Stream Analytics
Migrating and modernizing legacy data warehouses and on-premises data estates to Azure
Lakehouse and medallion architecture, including Delta and Parquet formats
What you’ll bring
All qualificationsCore experience
- In-depth expertise in data platform and engineering on Azure
- Proficiency in SQL, Python and PySpark
- Experience designing generative AI solutions with RAG and orchestration frameworks
- Knowledge of Azure DevOps, CI/CD and Infrastructure-as-Code (ARM, Bicep or Terraform)
Qualification wording
Require in depth expertise in the following functional areas.
Proficiency in SQL, Python and PySpark.
including retrieval augmented generation (RAG), prompt engineering and orchestration frameworks
Knowledge of Azure DevOps, CI/CD and Infrastructure-as-Code (ARM, Bicep or Terraform)
Tools in this posting
- Python
- SQL
- Azure
- Terraform
- PySpark
Source — Tool mentions in context
Demonstrate the ability to adapt to modern technologies and learn quickly. Ability to deliver results through teamwork while achieving individual billable attainment goals. Ability to focus on customers, proven ability to be client focused, create results, proactive, and collaborate with others. Demonstrate a passion for mentoring, supporting peers & sharing knowledge. Display strong time, project, and priority management skills. Express excellent communication skills, presentation skills, written skills, customer/partner relationships and expectations management. Designing and delivering generative AI solutions with Azure AI Foundry, Azure OpenAI and agentic patterns, including retrieval augmented generation (RAG), prompt engineering and orchestration frameworks. Require in depth expertise in the following functional areas. Data Platform & Engineering: Building scalable batch and streaming data pipelines using Azure Data Factory, Event Hubs and Stream Analytics. Lakehouse and medallion architecture, including Delta and Parquet formats. Data modelling, query optimization and performance tuning. Migrating and modernizing legacy data warehouses and on-premises data estates to Azure. Proficiency in SQL, Python and PySpark. Knowledge of Azure DevOps, CI/CD and Infrastructure-as-Code (ARM, Bicep or Terraform).
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Oct 5, 2026 · 24 days ago
- Recorded sightings
- 164
- Last seen by us
- Oct 29, 2026
- Employer says posted
- Sep 29, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Your next step
- Have your resume and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the pay range before committing time to the process.
Complete your application on apply.careers.microsoft.com. The employer’s form will show what is required.
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Job description
Source details
Source notes
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Bengaluru, KA, IN; Mumbai, MH, IN; Noida, UP, IN
Working pattern and location restrictions need checking in the full posting.
- Work authorization
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