Data Platform Engineer

 About The Role  



Project Role :Data Platform Engineer




Project Role Description :Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models.


Must have skills :PySpark



Good to have skills :NA
Minimum

3 year(s) of experience is required



Educational Qualification :15 years full time education



Summary:Seeking a forward-thinking professional with an AI-first mindset to design, develop, and deploy enterprise-grade solutions using Generative and Agentic AI frameworks that drive innovation, efficiency, and business transformationAs a Data Platform Engineer, you will assist with the data platform blueprint and design, encompassing the relevant data platform components. Your typical day will involve collaborating with Integration Architects and Data Architects to ensure cohesive integration between systems and data models, while also engaging in discussions to refine and enhance the overall data architecture.Roles & Responsibilities:- Lead AI-driven solution design and delivery by applying GenAI and Agentic AI to address complex business challenges, automate processes, and integrate intelligent insights into enterprise workflows for measurable impact.Expected to be an SME.

Collaborate and manage the team to perform.

Responsible for team decisions.

Engage with multiple teams and contribute on key decisions.

Expected to provide solutions to problems that apply across multiple teams.

Facilitate knowledge sharing sessions to enhance team capabilities.

Monitor project progress and ensure alignment with strategic goals.Professional & Technical Skills:

- Strong grasp of Generative and Agentic AI, prompt engineering, and AI evaluation frameworks. Ability to align AI capabilities with business objectives while ensuring scalability, responsible use, and tangible value realization.
Must To Have

Skills:

Proficiency in PySpark.

Strong understanding of data modeling and ETL processes.

Experience with cloud-based data platforms and services.

Familiarity with data governance and compliance standards.

Ability to troubleshoot and optimize data workflows.

Additional Information:- The candidate should have minimum 12 years of experience in PySpark.

This position is based in Mumbai.

A 15 years full time education is required.

Summary: Seeking a forward-thinking professional with an AI-first mindset to design, develop, and deploy enterprise-grade solutions using Generative and Agentic AI frameworks that drive innovation, efficiency, and business transformation.Roles & Responsibilities: Lead AI-driven solution design and delivery by applying GenAI and Agentic AI to address complex business challenges, automate processes, and integrate intelligent insights into enterprise workflows for measurable impact.Professional & Technical Skills:

Strong grasp of Generative and Agentic AI, prompt engineering, and AI evaluation frameworks. Ability to align AI capabilities with business objectives while ensuring scalability, responsible use, and tangible value realization.

 Qualification 15 years full time education