Senior Data Engineer and .NET Developer (Hyderabad)

SA1 / Sr. Engg - GTS - Build AI Roles &

responsibilities Design, develop, and implement data pipelines for scalable solutions using various technologies Databricks or Microsoft Fabric Conduct Code reviews and recommend best coding practices Provide effort estimates to implement solutions, development effort for the proposed solutions Develop and maintain comprehensive documentation for all proposed solutions. models, including detailed technical specifications, results of testing and evaluation, and datasets used for developing the solutions Lead Architect and design efforts for Product development and application development for relevant use cases providing guidance and support to team members and clients Implement best practices of Data Engineering and Architectural solution design, development, Testing and documentation Participate in team meetings, brainstorming sessions, and project planning activities Stay up-to-date with the latest advancements in Data Engineering area, to drive innovation and maintain a competitive edge Stay hands-on with the design, development and validation of systems and models deployed Collaborate with audit professionals to understand business, regulatory and risk requirements and key alignment considerations for Audit Drive efforts in the Data Engineering and Architecture practice area Mandatory technical & functional skills Databricks/Fabric/Spark Notebooks SQL/NoSQL databases, Redis, Full-Stack Development - React, Angular Data Management: Design, implement, and manage AI-driven data solutions on the Microsoft Azure cloud platform, ensuring scalability and performance.

Data Integration: Develop and maintain data pipelines for AI applications, ensuring efficient data extraction, transformation, and loading (ETL) processes using Azure Data Factory.

Big Data Processing: Utilize big data technologies such as Azure Databricks and Apache Spark to handle, analyze, and process large datasets for machine learning and AI applications. machine learning frameworks -TensorFlow, PyTorch Backend frameworks - FastAPI, Django This role is for you if you have the below Educational qualifications Minimum qualification required: BTech in Computer Science/ MTech/ MCA - Fulltime education. Work experience 3 to 5 years of experience in design, develop data centric applications using various tools and technologies eg: Databases,reporting,ETL/ELT,NoSQL etc. 2 years of experience in designing, architecting solutions using Microsoft Data technologies like ADF/SYNAPSE Relevant Data Professional certifications AWS, GCP or Azure Roles &

responsibilities We are seeking an experienced .NET Developer to design, develop, and support enterprisegrade applications using Microsoft technologies. The role involves working on fullstack or backend components, integrating systems, ensuring application stability, and contributing to modernization initiatives.

Responsibilities: Application Development: Develop, test, and maintain web applications using the .NET technology stack, React for the front end, and related web technologies. Develop, test, and maintain Python-based applications and backend services Design and implement responsive, user-friendly, and visually appealing user interfaces. Back-End Development/Front-End Development: Create and maintain server-side logic and databases.

Implement RESTful APIs, web services, and microservices to support application functionality. Optimize server performance and ensure data security. Develop interactive web interfaces using React, HTML, CSS, and JavaScript.

Ensure cross-browser compatibility and responsiveness. Implement contemporary front-end development practices and libraries.

Database Management: Design, implement, and maintain relational databases (e.g., SQL Server) Optimize database queries and performance.

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Control and Collaboration Security and Compliance: Utilize version control systems (e.g., Git) to manage source code. Collaborate with other developers, designers, and stakeholders to gather requirements and ensure project success. Implement security best practices, such as authentication, authorization, and data encryption.

Ensure compliance with industry and regulatory standards (e.g., GDPR, HIPAA). Create technical documentation, including system architecture diagrams, API documentation, and code documentation Stay updated with the latest technologies, trends, and best practices in full-stack development, Angular, and SQL This role is for you if you have the below Educational qualifications Bachelor's degree in Computer Science Work experience 4-6 Years of Experience Experience Level Senior Level .