SA1 / Sr. Engg - GTS - Build AI
KPMG
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Job Type
Description
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 enterprise‑grade applications using Microsoft technologies. The role involves working on full‑stack 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 modern front-end development practices and libraries.
Database Management:
Design, implement, and maintain relational databases (e.g., SQL Server)
Optimize database queries and performance.
Version 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
This job is found at InterviewStack.io
Skills
About KPMG
KPMG is a global organization of independent professional services firms providing Audit, Tax and Advisory services.