Software Engineer - Azure Databricks

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

Experience

2-4 Years

• We are seeking an experienced Azure AI Data Engineer with 2 to 4 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 implementationRequired Qualifications - Bachelors or Masters 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 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.

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