Back
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Mid-level generalist title, metro location, and 5–7 years amplify competition despite niche Cognite CDF requirement.
Cognite Data Fusion and industrial graph expertise limit cross-industry transferability, raising background sensitivity.
Explicit 5–7 years plus mandatory Cognite, Python, SQL, and cloud skills increase filtering strictness.
Design, develop, and maintain graph data models and digital representations using Cognite Data Fusion (CDF).
Develop and optimize integrations, data ingestion, transformation, and modeling using CDF APIs, SDKs, Python, and SQL with BigQuery and other data sources.
Ensure data quality, governance, deployment, monitoring, troubleshooting, and performance optimization of CDF-based graph solutions.
5-7 years of experience in relevant data engineering roles.
Proficiency with Cognite Data Fusion, APIs, Python, SQL, Data Modeling, ETL/ELT processes.
Experience working with cloud platforms such as Azure or GCP.
Work Experience Required: 5-7 years. Location: Pune, India.
Experienced in building and managing knowledge graphs in engineering and manufacturing domains.
Able to translate complex business requirements into scalable graph-based data solutions.
Skilled in automation and performance optimization of cloud-based data integration pipelines.