Graph DB

About Company : Our Client is a leading Indian multinational IT services and consulting firm. It provides digital transformation, cloud computing, data analytics, enterprise application integration, infrastructure management, and application development services. The company caters to over 700 clients across industries such as banking and financial services, manufacturing, technology, media, retail, and travel & hospitality.

Its industry-specific solutions are designed to address complex business challenges by combining domain expertise with deep technical capabilities. With a global workforce of over 80,000 professionals and a presence in more than 50 countries.

Job Title : Graph DB

Locations : PAN INDIA

Experience : 5 - 10 Years Experience

Employment Type : Contract to Hire

Work Mode : Work From Office

Notice Period : Immediate to 15 Days

Job Description :

Key Responsibilities :

Analyse and associated engineering documentation like P&ID

Design and implement graph data models to represent equipment, instrumentation, pipelines, and control logic.

Develop ETL pipelines to convert P&ID data (from PDFs, CAD, or XML formats) into graph structures.

Collaborate with domain experts to ensure semantic accuracy and contextual relevance of graph relationships.

Optimize graph queries and performance for industrial-scale datasets.

Integrate graph database solutions with existing enterprise systems (e.g., CMMS, SCADA, ERP).

Provide technical leadership and guidance on graph database best practices.

Document data models, workflows, and conversion methodologies.

Required Qualifications :

Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.

5+ years of experience in data engineering or software development.

Proven experience with graph databases (Neo4j, AWS Neptune, etc.).

Strong understanding of P&ID structures, ISA standards, and process engineering concepts.

Experience with data extraction from engineering drawings (OCR, CAD parsing, etc.).

Proficiency in Cypher, Gremlin, or SPARQL query languages.

Familiarity with industrial ontologies and semantic modeling (e.g., ISO 15926, OPC UA).

Excellent problem-solving and communication skills.

Preferred Skills :

Experience in Oil & Gas digital transformation projects.

Knowledge of Industrial IoT platforms and data integration.

Familiarity with cloud platforms (AWS, Azure) and containerization (Docker, Kubernetes).

Exposure to AI / ML techniques for diagram interpretation and data enrichment