Experience : 5 to 8Yrs (must have lead experience) Mode of Work : WFO Only Location : Chennai Immediate Joiners Only can Apply Required Skills & Experience: 5–7 years of professional experience in software development. Expertise in .NET Core / .NET Framework, C#, and Web APIs. Strong front-end development experience using ReactJS (including hooks, state management). Proficiency in MySQL or other relational databases; ability to design schemas, optimize queries, and handle DB migrations. Experience in leading small to mid-sized development teams. Excellent problem-solving skills and a strong grasp of software engineering principles. Effective communication skills to interact with both internal teams and external customers. Key Responsibilities: Lead the design, development, and deployment of scalable web applications using .NET (C#), React, and MySQL. Guide and mentor a team of developers, ensuring adherence to coding best practices and architectural standards. Collaborate with product owners, QA, and other cross-functional teams to ensure timely delivery of high-quality software. Participate in architecture discussions and propose scalable and maintainable solutions. Act as a primary technical point of contact for the customer and represent the engineering team in all technical discussions. Review code, resolve technical roadblocks, and ensure continuous improvement in the development process. Support DevOps practices like CI/CD, monitoring, and cloud deployment—preferably in Azure. Show more Show less

Key Responsibilities:  Hands-on experience on designing and developing Microsoft Power Platform solutions - Power Apps (Especially Model driven) and Power Automates.- Design and configure Dataverse tables, relationships, forms, views, charts, and dashboards to support business processes and data management within model-driven apps.  Implement business rules, workflows, and business process flows using Power Automate (formerly Microsoft Flow) to automate tasks and streamline operations.  Extend model-driven app functionality through client scripting (JavaScript), web resources, and Power Apps Component Framework (PCF) controls for advanced UI/UX and custom behavior.  Lead the design and development of complex Power Apps solutions (both canvas and model-driven) to meet advanced business requirements.  Expert proficiency in Power Apps development (Canvas and Model-driven) including advanced Power Fx, component framework (PCF), and ALM practices  Demonstrated ability to create solutions with various data sources such as data verse, SharePoint, SQL, Azure components etc  Develop custom business logic and integrations (using advanced Power Fx, Azure Functions, custom connectors, etc.) to extend Power Platform capabilities  Configure and optimize Microsoft Dataverse schemas. Manage data flows between Power Apps and external databases.  Ensure solutions are secure, scalable, and compliant with best practices (including governance, authentication, and data validation) .  Integrate PowerApps with other Microsoft services (e.g., SharePoint, Dynamics 365, Power BI) and external systems using custom connectors and APIs.  Extensive experience with Power Automate (cloud flows, UI flows) and proven ability to integrate Power Platform with other systems and services  Create and maintain comprehensive documentation, including design specifications, technical guides, and user manuals. Job Type: Contractual / Temporary Pay: ₹60,000.00 - ₹100,000.00 per month Schedule: Day shift Fixed shift Work Location: In person

Key Responsibilities:  Hands-on experience on designing and developing Microsoft Power Platform solutions - Power Apps (Especially Model driven) and Power Automates.- Design and configure Dataverse tables, relationships, forms, views, charts, and dashboards to support business processes and data management within model-driven apps.  Implement business rules, workflows, and business process flows using Power Automate (formerly Microsoft Flow) to automate tasks and streamline operations.  Extend model-driven app functionality through client scripting (JavaScript), web resources, and Power Apps Component Framework (PCF) controls for advanced UI/UX and custom behavior.  Lead the design and development of complex Power Apps solutions (both canvas and model-driven) to meet advanced business requirements.  Expert proficiency in Power Apps development (Canvas and Model-driven) including advanced Power Fx, component framework (PCF), and ALM practices  Demonstrated ability to create solutions with various data sources such as data verse, SharePoint, SQL, Azure components etc  Develop custom business logic and integrations (using advanced Power Fx, Azure Functions, custom connectors, etc.) to extend Power Platform capabilities  Configure and optimize Microsoft Dataverse schemas. Manage data flows between Power Apps and external databases.  Ensure solutions are secure, scalable, and compliant with best practices (including governance, authentication, and data validation) .  Integrate PowerApps with other Microsoft services (e.g., SharePoint, Dynamics 365, Power BI) and external systems using custom connectors and APIs.  Extensive experience with Power Automate (cloud flows, UI flows) and proven ability to integrate Power Platform with other systems and services  Create and maintain comprehensive documentation, including design specifications, technical guides, and user manuals. Show more Show less

Job Role : Data Engineer Full time / Contract Experience : 2 to 4Yrs Mode of Work : WFO Only Location : Chennai Job description: Key Skills: SQL, ETL Tools, ADF, ADB, Reporting Tools Key Requirements: The day-to-day development activities will need knowledge of the below concepts.  Expert-level knowledge in RDBMS (SQL Server) with clear understanding of SQL query writing, object creation and management and performance and optimisation of DB/DWH operations.  Good understanding of Transactional and Dimensional Data Modelling, Star Schema, Facts/Dimensions, Relationships  Good understanding of ETL concepts and exposure to tools such as Azure Data Factory, Azure Databricks, Airflow.  In-depth expertise in Azure Data Factory and Databricks, including building scalable data pipelines, orchestrating complex workflows, implementing dynamic and parameterized pipelines, and optimizing Spark-based data transformations for large-scale integrations.  Hands-on experience with Databricks Unity Catalog for centralized data governance, fine-grained access control, auditing, and managing data assets securely across multiple workspaces.  Should have worked on at least 1 development lifecycle of one of the below:  End-to-end ETL project (Involving above mentioned ETL tools)  Ability to write and review test cases, test code and validate code.  Good understanding of SDLC practices like source control, version management, usage of Azure Devops and CI/CD practices. Project context:  Should have the skill to fully understand the context and use-case of a project and have a personal vision for it – Play the role of interfacing with customer directly on a daily basis.  Should be able to converse with functional users and convert requirements into tangible processes/models and documentation in available templates.  Should be able to provide consultative options to customer on best way to execute projects  Should have a good understanding of project dynamics – scoping, setting estimates, setting timelines, working around timelines in case of exceptions, etc. Preferred skills:  Knowledge of Python is a bonus  Knowledge of SSIS is a bonus  Knowledge of Azure Devops, Source Control/Repos is good to have Job Type: Contractual / Temporary Pay: ₹600,000.00 - ₹2,000,000.00 per year Application Question(s): Are you an immediate joiner? Are you ready to work from office chennai location? How many years experience are you having in total? How many years experience are you having as a Data Engineer? How many years experience are you having in Azure Databricks ? Work Location: In person

Job Role : Data Engineer Full time / Contract Experience : 2 to 6Yrs Mode of Work : WFO Only Location : Chennai Job description: Key Skills: SQL, ETL Tools, ADF, ADB, SSIS, Reporting Tools Key Requirements: The day-to-day development activities will need knowledge of the below concepts.  Expert-level knowledge in RDBMS (SQL Server) with clear understanding of SQL query writing, object creation and management and performance and optimisation of DB/DWH operations.  Good understanding of Transactional and Dimensional Data Modelling, Star Schema, Facts/Dimensions, Relationships  Good understanding of ETL concepts and exposure to tools such as Azure Data Factory, Azure Databricks, Airflow.  In-depth expertise in Azure Data Factory and Databricks, including building scalable data pipelines, orchestrating complex workflows, implementing dynamic and parameterized pipelines, and optimizing Spark-based data transformations for large-scale integrations.  Hands-on experience with Databricks Unity Catalog for centralized data governance, fine-grained access control, auditing, and managing data assets securely across multiple workspaces.  Should have worked on at least 1 development lifecycle of one of the below:  End-to-end ETL project (Involving above mentioned ETL tools)  Ability to write and review test cases, test code and validate code.  Good understanding of SDLC practices like source control, version management, usage of Azure Devops and CI/CD practices. Project context:  Should have the skill to fully understand the context and use-case of a project and have a personal vision for it – Play the role of interfacing with customer directly on a daily basis.  Should be able to converse with functional users and convert requirements into tangible processes/models and documentation in available templates.  Should be able to provide consultative options to customer on best way to execute projects  Should have a good understanding of project dynamics – scoping, setting estimates, setting timelines, working around timelines in case of exceptions, etc. Preferred skills:  Knowledge of Python is a bonus  Knowledge of SSIS is a bonus  Knowledge of Azure Devops, Source Control/Repos is good to have

Role : ML Ops Support Engineer *Job description:* We are looking for a skilled MLOps Support Engineer to join our team. This role involves monitoring and managing ML model operational pipelines in AzureML and MLflow, with an emphasis on automation, integration validation, and CI/CD pipeline management. The ideal candidate will be technically sound in Python, Azure CLI, and MLOps tools, and capable of ensuring stability and reliability in model deployment lifecycles. *Objectives of the role:*  Support and monitor MLOps pipelines in AzureML and MLflow  Manage CI/CD pipelines for model deployment and updates  Handle model registry processes, ensuring best practices for versioning and tracking  Perform testing & validation of integrated endpoints to ensure non-functional stability  Automate monitoring and upkeep of ML pipelines to relieve the data science team  Troubleshoot and resolve pipeline and integration-related issues *Responsibilities:*  Support production ML pipelines using AzureML and MLflow  Configure and manage model versioning and registry lifecycle  Automate alerts, monitoring tasks, and routine pipeline operations  Validate REST API endpoints for ML models  Implement CI/CD workflows for ML deployments  Document and troubleshoot operational issues related to ML services  Collaborate with data scientists and platform teams to ensure delivery continuity *Required Skills & Qualifications:*  Proficiency in AzureML, MLflow, and Databricks  Strong command over Python  Experience with Azure CLI and scripting  Good understanding of CI/CD practices in MLOps  Knowledge of model registry management and deployment validation  3–5 years of relevant experience in MLOps environments Skills that are good to have, but not mandatory:  Exposure to monitoring tools (e.g., Azure Monitor, Prometheus)  Experience with REST API testing (e.g., Postman)  Familiarity with Docker/Kubernetes in ML deployments

As a skilled MLOps Support Engineer, you will be responsible for monitoring and managing ML model operational pipelines in AzureML and MLflow. Your primary focus will be on automation, integration validation, and CI/CD pipeline management to ensure stability and reliability in model deployment lifecycles. Your objectives in this role include supporting and monitoring MLOps pipelines in AzureML and MLflow, managing CI/CD pipelines for model deployment and updates, handling model registry processes, performing testing and validation of integrated endpoints, automating monitoring and upkeep of ML pipelines, as well as troubleshooting and resolving pipeline and integration-related issues. In your day-to-day responsibilities, you will support production ML pipelines using AzureML and MLflow, configure and manage model versioning and registry lifecycle, automate alerts, monitoring tasks, and routine pipeline operations, validate REST API endpoints for ML models, implement CI/CD workflows for ML deployments, document and troubleshoot operational issues related to ML services, and collaborate with data scientists and platform teams to ensure delivery continuity. To excel in this role, you should possess proficiency in AzureML, MLflow, and Databricks, have a strong command over Python, experience with Azure CLI and scripting, a good understanding of CI/CD practices in MLOps, knowledge of model registry management and deployment validation, and at least 3-5 years of relevant experience in MLOps environments. While not mandatory, it would be beneficial to have skills such as exposure to monitoring tools like Azure Monitor and Prometheus, experience with REST API testing tools such as Postman, and familiarity with Docker/Kubernetes in ML deployments.,