Senior Data Engineer - Cognite Data Fusion
YASH Technologies (company site, opens in a new tab)5+ yrsPuneOn-siteDirect career pageEst. 12–22 LPA
Posted on 4 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design, deploy, and manage end-to-end industrial data pipelines and digital solutions using Cognite Data Fusion (CDF).
- Lead data integration, transformation, contextualization, quality validation, and data model management across diverse industrial and enterprise data sources.
- Configure and deploy client digital solutions such as OptiFlow and OptiSite, ensuring reliable functionality and collaboration with stakeholders and software teams.
Minimum Requirements
- Bachelor's degree in computer science, IT, Data Engineering, Engineering, or related technical discipline.
- 5+ years of experience in data engineering, deployment engineering, industrial digitalization, or related fields.
- Proven experience with enterprise-scale data integration, data management, and cloud-based deployments (Azure, AWS, or GCP).
- Technical expertise in SQL, Python scripting, data quality assessment, and familiarity with industrial systems like PI Systems, SCADA, SAP MES, and Cognite Data Fusion platform.
Ideal Candidate Profile
- Experienced in deploying industrial digitalization solutions and client digital products such as OptiFlow and OptiSite.
- Strong stakeholder engagement and ability to work across teams including software developers, architects, and client data owners.
- Skilled in building scalable, reliable data models and pipelines that support software application development and agile deployment methodologies.