Data Platform Engineer with AI and PySpark Expertise

Data Platform Engineer

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 transformation.As a Custom Software Engineer, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. Your typical day will involve collaborating with various teams to ensure that project requirements are met, overseeing the development process, and providing guidance to team members. You will engage in problem-solving activities, ensuring that the applications are built to meet the highest standards of quality and functionality. Additionally, you will be responsible for communicating project updates and challenges to stakeholders, ensuring alignment and transparency throughout the project lifecycle.

AI Powered Tech Talent

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.
- Provide solutions to problems for their immediate team and across multiple teams.
- Facilitate knowledge sharing sessions to enhance team capabilities.
- Monitor project progress and implement necessary adjustments to meet deadlines.

Professional & Technical Skills-
Must To Have 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. Proficiency in PySpark.
- Strong understanding of data processing frameworks and distributed computing.
- Experience with data integration and ETL processes.
- Familiarity with cloud platforms and services related to data processing.
- Ability to write efficient and optimized code for data manipulation.

Additional Information
- The candidate should have minimum 5+ years of experience in PySpark.
- A 15 years full time education is required.