SA1 / Sr. Engg - GTS - Build AI at KPMG Global Services

Hyderabad, Telangana, India -

Full Time

Start Date

Immediate

Expiry Date

24 Sep, 26

Salary

0.0

Posted On

26 Jun, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Databricks, Microsoft Fabric, Apache Spark, SQL, NoSQL, React, Angular, Azure Data Factory, TensorFlow, PyTorch, FastAPI, Django, ETL, Data Pipeline Design, Azure Cloud Platform, Data Architecture

Industry

Business Consulting and Services

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

Responsibilities

Design, develop, and implement scalable data pipelines and AI-driven solutions using Databricks and Microsoft Fabric. Lead architectural efforts for product development while providing technical guidance and maintaining comprehensive documentation.