Data Platform Engineer

Overview

Assist with the data platform blueprint and design, encompassing the relevant data platform components, in collaboration with Integration Architects and Data Architects to ensure cohesive integration between systems and data models.

What you'll do

• Design scalable, high performance enterprise graph data solutions, including graph databases, data models, and integration patterns.
• Architect and 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 obtain sign-off.

What you'll need

• 9+ years overall IT experience.
• 3+ years of design, implementation and deployment of graph based solutions.
• Deep hands-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 building scalable ETL pipelines.
• Work experience on data transformation and analytic projects.
• Experience in at least one programming language, e.g. Python, Scala, SQL.
• Strong requirement analysis and technical solutioning skills in Data and Analytics.
• Excellent writing, communication and presentation skills.
• Excellent client facing and interpersonal skills.
• B.E or B.Tech with 15 years full time education.

Nice to have

• Graph Database Modelling, Ontology, Semantic Data Modeling.
• Familiarity with graph analytics, graph embeddings, or machine learning on graphs.
• Understanding of Data Analytics on Cloud landscape and Data Lake knowledge.
• Cloud Data Engineering, Cloud Data Integration.
• Familiarity with Data Architecture Principles.
• Eagerness to learn new skills and develop self on an ongoing basis.

Details

• Location: Bengaluru.