Data Platform Engineer
Full Time
full-time
27 Oct 2025
Verified by Turrior
Content + Source + Freshness • 17 Dec 2025 • 95% confidence
78 / 100
Offer value
Moderate job value owing to its emerging focus on AI and data platforms, though requirements are less clear compared to other roles.
- Engagement with top AI and data technologies
- Growing relevance of role as AI evolves
- Cross-functional projects enhance collaborative skills
Pros
- Strong emphasis on AI integration provides future relevance
- Position involves cutting-edge technologies like Python and AI/ML
- Opportunity for cross-functional collaboration enhances learning
Cons
- Less clarity around expected outcomes and deliverables
- Role may require continuous learning due to fast-paced tech evolution
- Potential competition as AI jobs are in demand
Who it's for
Junior to Mid Level • Office based in Pune
Good fit
- Data professionals with an interest in AI
- Those eager to innovate within data ecosystems
- Candidates looking for growth in their engineering careers
Not recommended for
- Junior candidates without relevant skills
- Jobseekers preferring traditional engineering tasks
- Those uncomfortable with rapid tech changes
Motivation fit
Interest in the application of AI for real-world problemsDesire to work in a collaborative, innovative environmentAmbition to enhance existing data platform capabilities
Key skills
Python and AI/ML integrationData engineering and pipeline managementCross-functional collaborationAPI developmentKnowledge of cloud technologies
Score: 78/100 AI verified analysis
About the job
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 : Data Science
Good to have skills : Generative AI
Minimum 3 year(s) of experience is required
Educational Qualification : 15 years full time education
SUMMARY: We are looking for a technical enthusiast with strong expertise in Python and a solid understanding of AI/ML concepts to contribute to the development of Data Agents powered by Agentic AI. The ideal AI enthusiast will play a key role in designing, implementing, and optimizing intelligent agents that can autonomously process data, interact with systems, and support business decision-making. ROLES AND RESPONSIBILITIES: • Design & Development: Build and deploy intelligent Data Agents using Agentic AI frameworks and Python-based development to enable autonomous decision-making. • Data Engineering: Implement scalable and efficient data pipelines leveraging Python/PySpark to support AI-driven workflows and analytics. • AI/ML Integration: Apply advanced AI/ML concepts within Data Agents to enable automation, reasoning, and intelligent decision support. • Prompt Engineering: Develop and optimize prompts to improve performance of large language models (LLMs) and enhance agentic workflows. • Cross-functional Collaboration: Partner with product, data science, and engineering teams to identify business use cases and deliver AI-powered solutions. • Innovation & Enhancement: Continuously refine agent capabilities to improve adaptability, efficiency, and accuracy in dynamic business environments. TECHNICAL EXPERIENCE: • Min 2.5 years of professional experience in the required skills - having min 1 year of Gen AI experience • Proficiency in Python, Knowledge Graphs, and experience with Py Spark for data handling. • Foundational understanding of AI/ML concepts (e.g., supervised/unsupervised learning, NLP, LLMs). • Growth mindset and agility to adapt in a rapidly evolving AI landscape. • Experience with ETL/ELT pipelines. • Proficiency in different types of database modeling (relational, NoSQL, graph, etc.). • Experience building APIs (e.g., Fast API) and Server-Sent Events (SSE). • Knowledge of search technologies, including Elasticsearch, vectorization, and embeddings. • Experience developing modern frontends using Angular or React frameworks. • Design and build Data Agents leveraging Agentic AI frameworks and Python-based development. • Implement scalable data pipelines using Python/Py Spark to support AI-driven workflows. • Integrate AI/ML concepts into Data Agents for automation, reasoning, and decision support. • Apply prompt engineering techniques to optimize performance of LLMs and agentic workflows. • Collaborate with product, data science, and engineering teams to identify use cases and deliver AI-enabled solutions. • Continuously enhance agent capabilities to improve adaptability, accuracy, and efficiency. • Stay ahead of emerging technologies in Agentic AI, ML, and autonomous systems to drive innovation. • Strong problem-solving mindset, with the ability to build and adapt intelligent systems. • Excellent communication skills to articulate technical ideas to cross-functional teams. ADDITIONAL ATTRIBUTES: • Familiarity with LLMs and frameworks for building agentic workflows. • Hands-on experience with ML frameworks such as scikit-learn, TensorFlow, or Py Torch. • Understanding of cloud-based AI services (AWS SageMaker, Azure ML, GCP Vertex AI). EDUCATION QUALIFICATIONS: • A 15-year full-time education is required
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 : Data Science
Good to have skills : Generative AI
Minimum 3 year(s) of experience is required
Educational Qualification : 15 years full time education
SUMMARY: We are looking for a technical enthusiast with strong expertise in Python and a solid understanding of AI/ML concepts to contribute to the development of Data Agents powered by Agentic AI. The ideal AI enthusiast will play a key role in designing, implementing, and optimizing intelligent agents that can autonomously process data, interact with systems, and support business decision-making. ROLES AND RESPONSIBILITIES: • Design & Development: Build and deploy intelligent Data Agents using Agentic AI frameworks and Python-based development to enable autonomous decision-making. • Data Engineering: Implement scalable and efficient data pipelines leveraging Python/PySpark to support AI-driven workflows and analytics. • AI/ML Integration: Apply advanced AI/ML concepts within Data Agents to enable automation, reasoning, and intelligent decision support. • Prompt Engineering: Develop and optimize prompts to improve performance of large language models (LLMs) and enhance agentic workflows. • Cross-functional Collaboration: Partner with product, data science, and engineering teams to identify business use cases and deliver AI-powered solutions. • Innovation & Enhancement: Continuously refine agent capabilities to improve adaptability, efficiency, and accuracy in dynamic business environments. TECHNICAL EXPERIENCE: • Min 2.5 years of professional experience in the required skills - having min 1 year of Gen AI experience • Proficiency in Python, Knowledge Graphs, and experience with Py Spark for data handling. • Foundational understanding of AI/ML concepts (e.g., supervised/unsupervised learning, NLP, LLMs). • Growth mindset and agility to adapt in a rapidly evolving AI landscape. • Experience with ETL/ELT pipelines. • Proficiency in different types of database modeling (relational, NoSQL, graph, etc.). • Experience building APIs (e.g., Fast API) and Server-Sent Events (SSE). • Knowledge of search technologies, including Elasticsearch, vectorization, and embeddings. • Experience developing modern frontends using Angular or React frameworks. • Design and build Data Agents leveraging Agentic AI frameworks and Python-based development. • Implement scalable data pipelines using Python/Py Spark to support AI-driven workflows. • Integrate AI/ML concepts into Data Agents for automation, reasoning, and decision support. • Apply prompt engineering techniques to optimize performance of LLMs and agentic workflows. • Collaborate with product, data science, and engineering teams to identify use cases and deliver AI-enabled solutions. • Continuously enhance agent capabilities to improve adaptability, accuracy, and efficiency. • Stay ahead of emerging technologies in Agentic AI, ML, and autonomous systems to drive innovation. • Strong problem-solving mindset, with the ability to build and adapt intelligent systems. • Excellent communication skills to articulate technical ideas to cross-functional teams. ADDITIONAL ATTRIBUTES: • Familiarity with LLMs and frameworks for building agentic workflows. • Hands-on experience with ML frameworks such as scikit-learn, TensorFlow, or Py Torch. • Understanding of cloud-based AI services (AWS SageMaker, Azure ML, GCP Vertex AI). EDUCATION QUALIFICATIONS: • A 15-year full-time education is required
