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 : Graph Databases

Good to have skills : NA

Minimum 7.5 Year(s) Of Experience Is Required

Educational Qualification : 15 years full time education

Summary:

As 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 strategy. You will be involved in various stages of the data platform lifecycle, ensuring that all components work harmoniously to support the organization's data needs and objectives.

Experience

• Overall IT experience (No of years) - 9+
• Design, Implementation and deployment of Graph based solution experience - 3+
  
  

Key Responsibilities:

• Design scalable, high performance enterprise graph data solutions, including graph databases, data models, and integration patterns.
• Architect/Design scalable data pipelines to ingest, process, and expose graph data for analytical and operational use cases.
• Devise Labeled Property / Ontology graph models aligned with business domains and use cases (e.g., fraud detection, recommendation, supply chain, entity resolution). Create Graph Solution deliverables and getting sign-off
  
  

Technical Experience:

Must Have Skills:

• 9+ year overall IT experience with 3+ years in Graph based solutions
• Deep hand-on knowledge in graph databases such as Neo4j, TigerGraph, AWS Neptune, or similar.
• Strong proficiency in graph modeling, graph integration and graph query optimization.
• Experience in building scalable ETL pipelines.
• Work Experience on data transformation and analytic projects.
• Experience in at least one programming languages e.g. Python, Scala, SQL.
  
  

Good to Have Skills:

• Any of these add-on skills - Graph Database Modelling, Ontology, Semantic Data Modeling. -Familiarity with graph analytics, graph embeddings, or machine learning on graphs.
• Preferred understanding of Data Analytics on Cloud landscape and Data Lake knowledge.
• Cloud Data Engineering, Cloud Data Integration
• Must be familiar with Data Architecture Principles.
  
  

Professional Experience:

• Strong requirement analysis and technical solutioning skill in Data and Analytics
• Excellent writing, communication and presentation skills.
• Eagerness to learn new skills and develop self on an ongoing basis.
• Excellent client facing and interpersonal skills
  
  

Educational Qualification:

• B.E or B.Tech must