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Job Description

You will be responsible for analyzing and associating engineering documentation like P&ID. Your role will involve designing and implementing graph data models to represent equipment, instrumentation, pipelines, and control logic. Additionally, you will be required to develop ETL pipelines to convert P&ID data from PDFs, CAD, or XML formats into graph structures. Collaboration with domain experts is essential to ensure the semantic accuracy and contextual relevance of graph relationships. Your duties will also include optimizing graph queries and performance for industrial-scale datasets, integrating graph database solutions with existing enterprise systems, providing technical leadership and guidance on graph database best practices, and documenting data models, workflows, and conversion methodologies. Key Responsibilities: - Analyze and associate engineering documentation like P&ID - Design and implement graph data models - Develop ETL pipelines for data conversion - Collaborate with domain experts for semantic accuracy - Optimize graph queries and performance - Integrate graph database solutions with enterprise systems - Provide technical leadership on graph database best practices - Document data models and workflows Qualifications Required: - Bachelors or Masters 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 - Proficiency in query languages such as Cypher, Gremlin, or SPARQL - Familiarity with industrial ontologies and semantic modeling - Excellent problem-solving and communication skills In addition to the above, the company is a leading Indian multinational IT services and consulting firm that provides digital transformation, cloud computing, data analytics, enterprise application integration, infrastructure management, and application development services. With a global workforce of over 80,000 professionals and a presence in more than 50 countries, the company caters to over 700 clients across various industries such as banking and financial services, manufacturing, technology, media, retail, and travel & hospitality. Their industry-specific solutions are designed to address complex business challenges by combining domain expertise with deep technical capabilities. You will be responsible for analyzing and associating engineering documentation like P&ID. Your role will involve designing and implementing graph data models to represent equipment, instrumentation, pipelines, and control logic. Additionally, you will be required to develop ETL pipelines to convert P&ID data from PDFs, CAD, or XML formats into graph structures. Collaboration with domain experts is essential to ensure the semantic accuracy and contextual relevance of graph relationships. Your duties will also include optimizing graph queries and performance for industrial-scale datasets, integrating graph database solutions with existing enterprise systems, providing technical leadership and guidance on graph database best practices, and documenting data models, workflows, and conversion methodologies. Key Responsibilities: - Analyze and associate engineering documentation like P&ID - Design and implement graph data models - Develop ETL pipelines for data conversion - Collaborate with domain experts for semantic accuracy - Optimize graph queries and performance - Integrate graph database solutions with enterprise systems - Provide technical leadership on graph database best practices - Document data models and workflows Qualifications Required: - Bachelors or Masters 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 - Proficiency in query languages such as Cypher, Gremlin, or SPARQL - Familiarity with industrial ontologies and semantic modeling - Excellent problem-solving and communication skills In addition to the above, the company is a leading Indian multinational IT services and consulting firm that provides digital transformation, cloud computing, data analytics, enterprise application integration, infrastructure management, and application development services. With a global workforce of over 80,000 professionals and a presence in more than 50 countries, the company caters to over 700 clients across various industries such as banking and financial services, manufacturing, technology, media, retail, and travel & hospitality. Their industry-specific solutions are designed to address complex business challenges by combining domain expertise with

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