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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
Apply at Microsoft

What you’ll work on

Full posting
  • Design 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 qualifications

Core 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

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Status in our records
Live
First seen by us
Oct 5, 2026 · 25 days ago
Recorded sightings
165
Last seen by us
Oct 30, 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.

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Job description

View original posting ↗

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).
Source details

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Pay

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Location & working pattern

Bengaluru, KA, IN; Mumbai, MH, IN; Noida, UP, IN

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