Experience Level: 5-8 Years Location: Pune office Joining: Immediate or up-to 1 months notice Summary: We are seeking an experienced AI-Enabled Data Architect & BI Lead with deep expertise in Microsoft SQL Server, Azure Data Services, Power BI, and .NET technologies. You will design and implement scalable, intelligent, cloud-native data solutions that power advanced analytics and decision-making. This role blends data engineering, BI architecture, and AI integration, requiring hands-on experience with SQL Azure, Azure Data Factory, SSIS, Power BI, and .NET Core for end-to-end solution delivery. You will leverage AI-assisted tools such as GitHub Copilot, ChatGPT, and Azure AI Studio to accelerate development, automate workflows, and deliver smarter, faster outcomes. As a technical leader, you will design data models, build ETL pipelines, and develop analytical dashboards and AI-driven insights, collaborating closely with data engineers, developers, and business stakeholders to deliver enterprise-grade analytics solutions. If you are passionate about uniting data architecture, business intelligence, and applied AI in a collaborative Agile environment, this role offers the opportunity to shape the next generation of intelligent data platforms—with a strong focus on delivering high-quality, secure solutions for healthcare applications. Key Responsibilities: Translate business and functional requirements into data architecture and design blueprints, serving as the Technical Architect and Lead Developer for BI, data warehousing, and AI-integrated analytics solutions. Design and implement optimized data models, OLAP cubes, star/snowflake schemas, and slowly changing dimensions for analytics and reporting. Build and maintain Azure Data Factory pipelines and SSIS packages for high-performance data ingestion, transformation, and orchestration. Develop advanced Power BI dashboards and reports using DAX, role-based security, and embedded analytics; integrate AI/ML models to automate insights. Implement robust data validation, governance, and security frameworks to ensure reliability, scalability, and compliance. Develop and maintain .NET APIs and microservices to securely expose and integrate enterprise data. Collaborate with cross-functional teams and continuously explore Azure AI, Power BI, and .NET innovations to improve platform intelligence and performance. Qualifications: a. Bachelor’s degree in Computer Science, Information Systems, Information Technology, or equivalent combination of education and relevant experience b. 5-8 years of experience in Handling Big data. c. Expertise in Microsoft SQL Server technologies, including SQL Azure, Azure Data Warehouse, Azure Data Factory, SSIS, SSRS, and SSAS, with strong hands-on T-SQL skills for developing database scripts, stored procedures, and automation. d. Proven experience in ETL architecture and development using SSIS and Azure Data Factory, with solid knowledge of data modeling, transformation, cleansing, and profiling techniques. e. Advanced proficiency in Power BI, including data modeling, DAX, MDX, KPI creation, and interactive dashboard design for enterprise analytics. f. Skilled in .NET / C# development for backend API and microservice design, data integration, and business logic implementation, with experience building end-to-end solutions using React/Angular (preferred), .NET backend, and SQL-based data services. g. Experience integrating AI and ML models via Azure Machine Learning, Cognitive Services, or OpenAI APIs for predictive analytics, automation, and intelligent reporting. h. Practical exposure to AI pair programming tools such as GitHub Copilot, ChatGPT, and Azure AI Studio, leveraging them for faster, cleaner, and smarter code generation. i. Hands-on experience with Agile methodologies, CI/CD pipelines, and version control tools (Git, Azure DevOps), ensuring high-quality, maintainable, and collaborative delivery. j. Strong understanding of data governance, security, and compliance frameworks in cloud-based data environments. k. Excellent analytical, problem-solving, and communication skills, with a continuous learning mindset and commitment to innovation. Perks & Benefits Management’s commitment to maintain work-life balance. Performance based bonus Challenging role with meaningful impact Several new initiatives will require building solutions from scratch. End-to-End ownership of work and ability to make independent decisions.
Experience Level: 8-12 Years Location: Pune office Joining: Immediate or up-to 1 months notice Summary: We are seeking an experienced .NET Tech Lead AI-Enabled Full Stack Development professional to lead end-to-end architecture, design, and development of enterprise-grade applications on the Azure cloud Applications. The ideal candidate should bring deep expertise in .NET Core, C#, Angular, Azure services, and database technologies (SQL/NoSQL), combined with hands-on exposure to AI-assisted programming and AI model integration. This role requires strong technical leadership in managing a team of developers and testers, driving best practices, and ensuring high-quality, scalable, and intelligent solutions. The candidate will champion AI-driven development workflows using tools like GitHub Copilot, Cursor, and any AI tools available while ensuring robust DevOps practices, containerized deployments, and Agile delivery. If you are passionate about blending AI innovation with full-stack engineering, mentoring teams, and building high-performance cloud applications, this is the perfect opportunity to make a significant impact. The role demands a keen focus on delivering high-quality software to meet the critical demands of healthcare applications. Key Responsibilities: Lead all technical aspects of product development from architecture design to deployment and release. Oversee the design and implementation of .NET Core, Angular, and Azure-based solutions, ensuring scalability, reliability, and performance. Mentor and guide all levels of developers, fostering a culture of technical excellence, adherence to best practices, and architectural principles, while promoting AI-driven problem-solving. Contribute actively to code reviews, ensuring maintainability, scalability, and adherence to clean code principles. Drive innovation and development efficiency by leading the adoption of AI-assisted tools (e.g., GitHub Copilot) and continuously evaluating emerging AI and cloud technologies to enhance product capabilities. Integrate AI and automation components into applications, including use cases like intelligent search, natural language interfaces, recommendation systems, or predictive analytics. Contribute to and continuously improve the CI/CD pipelines (using Azure DevOps), automated testing platforms, and unit testing frameworks to ensure rapid and reliable software delivery. Build and maintain data pipelines (SQL Server, MongoDB, Cosmos DB). Proactively monitor system health, rapidly respond to alerts, and implement long-term fixes to ensure the stability, performance, and quality of all applications. Collaborate closely with cross-functional teams (Scrum, QA, DevOps, and Data teams) to define, design, and deliver new features and enhancements. Lead all client communications related to technical scope, architecture decisions, and delivery timelines. Qualifications: Bachelors degree in Computer Science, Information Systems, Information Technology, or equivalent combination of education and relevant experience 8–12 years of hands-on experience in designing, developing, and deploying enterprise-grade software solutions, with experience leading a team of 10+ developers and testers. Core Technical Expertise: Expert-level proficiency in the Microsoft stack, including .NET Core, C#, Angular, and SQL Server. Strong practical experience in database design, data modeling, and writing complex SQL queries, alongside familiarity with NoSQL databases (Cosmos DB or MongoDB). Cloud & DevOps Mastery: Proven expertise in developing cloud-native solutions on Azure, utilizing key services like App Service, Function/Logic Apps, Service Bus, Key Vault, and Storage. Strong experience with DevOps practices, building CI/CD pipelines using Azure DevOps or GitHub Actions, and practical knowledge of containerization (Docker/Kubernetes). Azure Certifications (e.g., Solutions Architect Expert) are a significant advantage. Quality & Version Control: Experience implementing and maintaining automated testing frameworks, unit tests, and QA pipelines. Hands-on proficiency with Git or other modern version control systems. AI Integration & Innovation: Practical exposure to AI-assisted development tools (e.g., GitHub Copilot, ChatGPT) for development efficiency. Understanding of AI model integration, Azure Cognitive Services, or OpenAI APIs for enhancing application intelligence. Leadership & Methodology: Proven experience working in Agile/Scrum environments, driving sprints, and ensuring timely project delivery. Strong analytical and communication skills with the ability to interpret and clearly convey complex business and technical requirements, while consistently meeting demanding deadlines. Perks & Benefits Management’s commitment to maintain work-life balance. Performance based bonus Challenging role with meaningful impact Several new initiatives will require building solutions from scratch. End-to-End ownership of work and ability to make independent decisions.