Key Responsibilities : looking for Lead .Net Fullstack Developer (Lead II - Software Engineering) with 8 to 10years of experience with below mentioned required skills, • .NET Core/C# : Experience in building scalable and high-performance web applications and APIs using .NET Core. Should have hands-on expertise in developing RESTful services, implementing authentication and authorization mechanisms, and following best practices for clean architecture. • SQL : Deep understanding of relational database design, query optimization, stored procedures, indexing strategies, and performance tuning. Experience in working with SQL Server, writing complex queries, and ensuring database efficiency. Skills Dot net core, C#, React, SQL Job Type: Full-time Pay: ₹1,800,000.00 - ₹2,300,000.00 per year Experience: C#: 7 years (Preferred) React: 6 years (Preferred) SQL: 7 years (Preferred) .NET Core: 7 years (Required) Work Location: In person

Experience- 3+ years Location- Bangalore, Hyderabad, Gurgaon Strong hands-on experience on .Net-core/ ASP .net core Solid understanding on REST APIs development. Proficient exp in developing reusable Angular component. Solid exp in typescript and library like RsJs. Collaborate with cross-functional teams to define, design, and ship new features Job Type: Full-time Pay: ₹1,800,000.00 - ₹2,300,000.00 per year Experience: .NET Core: 3 years (Required) Angular: 3 years (Required) Work Location: In person

Required Qualifications: Experience : 6-8 years of total experience in data engineering, with 3+ years of hands-on experience in Databricks , PySpark , and AWS . 3+ years of experience in Python and SQL for data engineering tasks. Experience working with cloud ETL services such as AWS Glue , GCP DataProc/DataFlow , Azure ADF and ADLF . Technical Skills : Strong proficiency in PySpark for large-scale data processing and transformation. Expertise in SQL , including window functions, for data manipulation and querying. Experience with cloud-based ETL tools (AWS Glue, GCP DataFlow , Azure ADF ) and understanding of their integration with cloud data platforms. Deep understanding of data schemas and models used across various business contexts. Familiarity with data warehousing optimization techniques , including partitioning, indexing, and query optimization. Knowledge of data security best practices (e.g., encryption, access control, and compliance). Agile Methodologies : Experience working in Agile (Scrum or Kanban) teams for iterative development and delivery. Communication : Excellent verbal and written communication skills, with the ability to explain complex technical concepts to non-technical stakeholders. Skills Python,Databricks,Pyspark,Sql Job Type: Full-time Pay: ₹1,500,000.00 - ₹2,100,000.00 per year Experience: Data Engineering: 6 years (Required) Databricks: 3 years (Required) Pyspark: 3 years (Required) AWS: 3 years (Required) Work Location: In person