Data Modeller (Bengaluru)

Data Modeller (Bengaluru)

13 Aug
|
Larsen and Toubro (L&T)
|
Bengaluru

13 Aug

Larsen and Toubro (L&T)

Bengaluru

Role & responsibilities

As a Data Modeller working with Cognite Data Fusion, you design and maintain the semantic layer that turns raw industrial data into structured, queryable, and AI-ready knowledge: Core Technical Duties (CDF-Specific) - Design, develop, and evolve semantic data models in CDF using Containers, Views, and the Data Modeling Service (DMS). - Extend and customize the Enterprise Data Model (EDM) to fit TotalEnergies upstream domain needs (assets, wells, equipment, time-series, events, documents, etc.). - Build and maintain asset hierarchies, relationships, and contextualization rules between different data sources. - Collaborate with domain experts to translate complex upstream business concepts (drilling, production, reservoir, maintenance) into expressive and scalable data models. - Define reusable Views for different use cases (operational dashboards, predictive analytics, digital twins, AI agents). - Ensure models support high performance for GraphQL and REST queries, time-series integration, and file/object linking. - Manage model versioning,



deployment across environments (Dev/Test/Prod), and integration with CI/CD pipelines. - Implement data governance aspects within models: metadata, lineage, access controls, and quality rules. Transversal / Senior-Level Duties - Provide technical leadership on data modeling best practices and standards across squads and the wider upstream digital community. - Work closely with Data Engineers (on ingestion & extractors), DevOps (on model deployment automation), and Solution Builders (on consumption layers). - Support the industrialization of use cases such as predictive maintenance, real-time optimization, safety applications, and emissions monitoring. - Conduct model reviews, performance optimization, and debugging of complex queries. - Stay current with CDF data modeling capabilities and contribute to Communities of Practice (CoP). The emphasis is on creating adaptable, extensible models that accelerate sol

📌 Data Modeller (Bengaluru)
🏢 Larsen and Toubro (L&T)
📍 Bengaluru

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