We are looking for a proactive and technically sound Full Stack Developer with experience in .NET Core, Angular 14, PostgreSQL, and SQL Server, along with exposure to Azure cloud services and DevOps pipelines. This role requires strong development skills across the stack and the ability to work with Azure-based services such as Azure Functions, WebJobs, and Blob Storage. Key Responsibilities: - Develop dynamic and responsive user interfaces using Angular 14+. - Design and implement backend services using .NET Core (C#) and RESTful APIs. - Work with PostgreSQL and SQL Server for database design, queries, and stored procedures. - Utilize Azure services including Azure Functions, WebJobs, and Blob Storage. - Participate in setting up and maintaining CI/CD pipelines using Azure DevOps or similar tools. - Ensure high performance, scalability, and reliability of applications. - Collaborate with the QA, DevOps, and Product teams to deliver features on time. - Write unit and integration tests to maintain code quality. Required Skills: - Minimum 5 years of full-stack development experience. - Minimum 4 years hands-on with Angular 14+, TypeScript, RxJS. - Strong backend skills with .NET Core (C#). - Minimum 4 years Azure cloud services: Azure Functions, WebJobs, Blob Storage. - Exposure to CI/CD pipelines, preferably using Azure DevOps. - Experience working with PostgreSQL and basic SQL Server. - Familiar with Entity Framework Core, REST APIs, and Git. Good to Have: - Knowledge of Docker, Kubernetes, or other containerization technologies. - Experience with logging/monitoring tools (App Insights, Serilog, etc.). - Familiarity with Agile/Scrum methodology. - Security best practices (e.g., authentication with JWT/OAuth).

We are seeking a candidate with 5 years of experience in Data Engineering and a strong background in analytics to join our team at Radamatic Solutions Pvt Ltd. Must Have Skills: Minimum 4 years of experience in SQL , including query optimization and complex joins Strong hands-on experience in PostgreSQL and SQL Server Minimum 4 years of experience in Snowflake (data modeling, performance tuning, and development) Minimum 4 years of experience in Azure Data Factory , Azure Cloud Services , and building ETL/ELT pipelines Hands-on experience with DBT for data transformation and modeling Knowledge and exposure to Tableau for data visualization and dashboarding Familiarity with version control systems like Git Responsibilities: Collaborate with the business and other functions across the company by building custom analytical objects, reports and dashboards with useful analysis and data insights Explain trends across data sources, potential opportunities for growth or improvement, and data caveats for descriptive, diagnostic data analysis. Develop deep understanding of how the data flows through different systems and transformed at various stages Understand and document the full lifecycle of data and our common data framework so that all data can be integrated, modeled for easy analysis, and analyzed for data insights Document every action in either issue/MR templates, the handbook, or the DBT documentation so your learnings turn into repeatable actions and then into automation Expand our database with clean data (ready for analysis) by implementing data quality tests while continuously reviewing, optimizing, and refactoring existing data models Craft code that meets our internal standards for style, maintainability, and best practices for a high-scale database environment. Maintain and advocate for these standards through code review Provide data modeling expertise through code reviews, pairing, and training to help deliver optimal, DRY, and scalable database designs and queries in Snowflake and in DBT Become code-owner of specific database and data model schemas Own the end-to-end process of building data models, data pipelines & analytical models (containing advanced transformations) as well as providing data support as and when needed by the Analytics/Engineering/Operations team Contribute to and implement data warehouse and data modeling best practices, keeping reliability, performance, scalability, security, automation, and version control in mind Follow and improve our processes and workflows for maintaining high quality data and reporting while ensuring the Data-led Operations philosophy in everything you do