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Job Title: Cognite Data Fusion Engineer / Consultant
Industry: Oil & Gas / Energy / Manufacturing / Industrial Digital Transformation
Key Responsibilities:
- Design implement and optimize data pipelines in Cognite Data Fusion (CDF) using Python SDK or CDF APIs
- Build and maintain data models (Asset Hierarchies Time Series Events Files Relationships) in CDF
- Ingest and contextualize data from OT systems (e.g. PI System SCADA/DCS) IT systems (SAP PM IBM Maximo) and engineering data
- Develop and orchestrate transformations using CDF Transformations (SQL / PySpark)
- Collaborate with SMEs and data scientists to develop use cases such as predictive maintenance asset performance monitoring and digital twins
- Implement access control data lineage and quality checks aligned with governance requirements
- Create dashboards apps or integrations using CDFs APIs Power BI Grafana or other front-end tools
- Work with Cognites capabilities such as Cognite Functions Data Sets CDF Charts and Industrial Canvas
Must Have:
- 4 years of experience in data engineering or industrial data platforms
- Proven experience working with Cognite Data Fusion SDK APIs or Fusion Workbench
- Strong skills in Python SQL and cloud data tools (Azure preferred)
- Understanding of industrial asset structures time series data maintenance logs and equipment metadata
- Experience with data integration tools and protocols (OPC UA Modbus REST MQTT PI AF)
- Familiarity with industry verticals like Oil & Gas Chemicals Power Generation or Manufacturing
- Excellent problem-solving communication and client engagement skills
Good to have:
- Experience with data visualization tools: Power BI Grafana Plotly etc.
- Knowledge of cloud platforms (Azure AWS GCP) and infrastructure as code (Terraform ARM)
- Prior experience with Cognites packaged solutions or apps (Asset Data Insight Reliability Integrity etc.)
- Cognite Certifications (CDF Foundation / Developer / Architect) a strong plus
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