Data Platform Engineer
Qualifications
Experience Level: Senior Level
- </b> </b></li><b><br /><br /> <b>Must To Have <br /><br /> <b>Skills:</b> <br /></b> <li> Proficiency in Snowflake Data Warehouse.</li> <li>Strong understanding of data modeling and ETL processes.</li> <li>Experience with cloud data warehousing solutions.</li> <li>Familiarity with SQL and data querying techniques.</li> <li>Ability to troubleshoot and optimize data workflows. <br /><br /> <b>Additional Information:</b> </li> <li>The candidate should have minimum 7.5 years of experience in Snowflake Data Warehouse.</li> <li>This position is based at our Gurugram office.</li> <li>A 15 years full time education is required. <br /><br /> <b>Summary</b>: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. <br /><br /> <b>Roles & Responsibilities:</b>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. <br /><br /> <b>Professional & Technical <br /><br /> <b>Skills:</b> </b></li><b> </b></b><li><b><b> </b>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
Full Job Description
About the Role
As a Data Platform Engineer in Gurugram, you will play a crucial role in shaping our data platform. You will assist with the data platform blueprint and design, encompassing all relevant data platform components. Your responsibilities will include collaborating closely with Integration Architects and Data Architects to ensure seamless integration between various systems and data models. This role requires a deep understanding of data architecture and the ability to contribute to key strategic decisions. We are looking for a proactive individual to refine and enhance our overall data architecture strategy.
Key Responsibilities
- Act as a Subject Matter Expert (SME) in data platform engineering.
- Collaborate with and manage teams to ensure efficient project execution.
- Be responsible for team decisions and project outcomes.
- Engage with multiple cross-functional teams to contribute to critical decision-making processes.
- Provide effective solutions to complex problems, both for your immediate team and across multiple departments.
- Facilitate knowledge sharing sessions to foster team growth and capability enhancement.
- Monitor project progress and ensure alignment with overarching strategic goals.
Professional & Technical Skills
Must-Have Skills:
- Proficiency in Snowflake Data Warehouse is essential.
- Strong understanding of data modeling principles and ETL processes.
- Demonstrated experience with cloud data warehousing solutions.
- Familiarity with SQL and advanced data querying techniques.
- Proven ability to troubleshoot, optimize, and enhance data workflows.
Additional Information:
- The ideal candidate will possess a minimum of 7.5 years of hands-on experience with Snowflake Data Warehouse.
- This position is based at our Gurugram office.
- A minimum of 15 years of full-time education is a prerequisite for this role.
Generative AI & Agentic AI Focus
We are seeking a forward-thinking professional with an AI-first mindset to design, develop, and deploy enterprise-grade solutions using Generative and Agentic AI frameworks. This role is instrumental in driving innovation, efficiency, and business transformation within our organization. You will 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 (AI Focus):
- Strong grasp of Generative and Agentic AI concepts, prompt engineering, and AI evaluation frameworks.
- Ability to strategically align AI capabilities with business objectives, ensuring scalability, responsible AI practices, and tangible value realization.
Qualifications
15 years of full-time education.
Company
