Module Lead - Azure Databricks

Date: Aug 24, 2026

Job Requisition Id: 66075

Location:
Hyderabad, IN Bangalore, KA, IN Indore, MP, IN Pune, IN

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YASH Technologies is a leading technology integrator specializing in helping clients reimagine operating models, enhance competitiveness, optimize costs, foster exceptional stakeholder experiences, and drive business transformation.

At YASH, we’re a cluster of the brightest stars working with cutting-edge technologies. Our purpose is anchored in a single truth – bringing real positive changes in an increasingly virtual world and it drives us beyond generational gaps and disruptions of the future.

We are looking forward to hire Azure Databricks Professionals in the following areas :

Experience

5-8 Years

Job Description

We are seeking an experienced Azure AI Data Engineer with 5 to 8 years of hands-on experience in designing, developing, and maintaining scalable data and AI solutions on Microsoft Azure. The ideal candidate should possess strong expertise in data engineering, Azure cloud services, AI/ML integration, data pipelines, and modern analytics platforms to support business intelligence and AI-driven applications.

Key Responsibilities

Design, develop, and maintain scalable data pipelines using Azure services.

Build and optimize ETL/ELT workflows for structured and unstructured data.

Implement data ingestion solutions using Azure Data Factory, Azure Databricks, and Azure Synapse Analytics.

Develop and manage data lakes and data warehouse solutions on Azure.

Integrate AI and Machine Learning services such as Azure AI Services, Azure OpenAI, Azure Machine Learning, and Cognitive Services into enterprise applications.

Create and maintain data models, transformations, and processing frameworks.

Implement data governance, data quality, security, and compliance controls.

Monitor and optimize data platform performance, scalability, and cost.

Collaborate with Data Scientists, AI Engineers, Business Analysts, and Application Development teams.

Develop reusable frameworks and automation for data orchestration and deployment.

Support CI/CD implementation using Azure DevOps and Infrastructure as Code (IaC).

Troubleshoot data-related issues and provide production support.

Azure AI & Machine Learning

Azure AI Services

Azure OpenAI Service

Azure Machine Learning

Azure Cognitive Services

Generative AI concepts and implementation

Required Qualifications

Bachelor's or Master's degree in Computer Science, Information Technology, Data Science, or related field.

5 to 8 years of experience in Data Engineering and Azure Cloud technologies.

Strong experience with Azure Data Factory, Databricks, Synapse Analytics, and Data Lake.

Experience working with large-scale structured and semi-structured datasets.

Knowledge of AI/ML integration and Generative AI solutions on Azure.

Hands-on experience with Python, SQL, and Spark.

Strong understanding of cloud architecture, security, and performance optimization.

Experience with Agile development methodologies.

Preferred Qualifications

Microsoft Azure Certifications such as:
DP-203: Azure Data Engineer Associate

AI-102: Azure AI Engineer Associate

AZ-305: Azure Solutions Architect Expert

Experience with Microsoft Fabric.

Experience in Retrieval-Augmented Generation (RAG) architectures.

Knowledge of Vector Databases and Semantic Search.

Experience integrating Azure OpenAI with enterprise applications.

At YASH, you are empowered to create a career that will take you to where you want to go while working in an inclusive team environment. We leverage career-oriented skilling models and optimize our collective intelligence aided with technology for continuous learning, unlearning, and relearning at a rapid pace and scale.

Our Hyperlearning workplace is grounded upon four principles

Flexible work arrangements, Free spirit, and emotional positivity

Agile self-determination, trust, transparency, and open collaboration

All Support needed for the realization of business goals,

Stable employment with a great atmosphere and ethical corporate culture