🎁 Before you apply, rehearse this interview. Create your free WorkMundi account and get an Interview Training on HelpsYouSpeak — no cost, no card. I want my training →
Job Description : 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 hireAzure Databricks Professionals in the following areas : Experience3-6 Years Job DescriptionWe are seeking an experiencedAzure AI Data Engineer with 3 to 6 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 ResponsibilitiesDesign, 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 LearningAzure AI ServicesAzure OpenAI ServiceAzure Machine LearningAzure Cognitive ServicesGenerative AI concepts and implementationRequired QualificationsBachelor's or Master's degree in Computer Science, Information Technology, Data Science, or related field.3 to 6 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 QualificationsMicrosoft Azure Certifications such as: DP-203: Azure Data Engineer AssociateAI-102: Azure AI Engineer AssociateAZ-305: Azure Solutions Architect ExpertExperience 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 positivityAgile self-determination, trust, transparency, and open collaborationAll Support needed for the realization of business goals,Stable employment with a great atmosphere and ethical corporate culture .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.