Module Lead - Cognite Data Fusion (Graph)

Job highlights

• Experience required: 7-10 years. Graph Engineer: . Design,develop,and maintain graph data models and digital representations using Cognite Data Fusion (CDF)
• Experience with Cognite Data Fusion,APIs,Python,SQL,Data Modeling,ETL / ELT,and Cloud Platforms (Azure / GCP) is required. Our Hyperlearning workplace is grounded upon four principles

We are looking forward to hire Cognite Data Fusion Professionals in the following areas :

:

Experience required: 7-10 years

Graph Engineer:

• Design, develop, and maintain graph data models and digital representations using Cognite Data Fusion (CDF).
• Build and manage knowledge graphs, contextualizing data across engineering and manufacturing systems.
• Develop and optimize integrations using CDF APIs, SDKs, and RESTful services.
• Ingest, transform, and model data from Data products in Bigquery and other data sources.
• Create and maintain CDF Data Models, Assets, Time Series, Events, RAW, and Transformations.
• Collaborate with business and technical teams to translate requirements into scalable graph solutions.
• Ensure data quality, governance, lineage, and consistency across graph and source systems.
• Develop automation solutions using Python, SQL, and Cognite SDKs.
• Support deployment, monitoring, troubleshooting, and performance optimization of CDF solutions.
• Experience with Cognite Data Fusion, APIs, Python, SQL, Data Modeling, ETL/ELT, and Cloud Platforms (Azure/GCP) is required.

Our Hyperlearning workplace is grounded upon four principles

• Flexible work arrangements, Free spirit, and emotional positivity
• Agile self-determination, trust, transparency, and open collaboration
• All Support needed for the realization of business goals,
• Stable employment with a great atmosphere and ethical corporate culture

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.