Data Engineer - Cognite Data Fusion Job

YASH Technologies is a leading technology integrator specializing in helping clients reimagine operating models, enhance competitiveness, optimize costs, foster exceptional stakeholder experiences, and drive business transformation. At YASH, we’re a cluster of the brightest stars working with cutting-edge technologies. Our purpose is anchored in a single truth – bringing real positive changes in an increasingly virtual world and it drives us beyond generational gaps and disruptions of the future. We are looking forward to hire Cognite Data Fusion Professionals in the following areas : Job description: Experience required: 5+ years Job Title : Deployment Engineer Job Summary We are seeking a highly motivated and technically strong Deployment Engineer to design, deploy, and manage end - to- end industrial data pipelines and digital solutions built on Cognite Data Fusion (CDF). The successful candidate will be responsible for data onboarding, transformation, contextualization, quality validation, and data model management across a wide range of enterprise and industrial data sources. This role requires a strong background in data engineering, industrial data analysis, cloud - based deployments, and software delivery practices . The engineer will work closely with client stakeholders, data owners, domain experts, software development teams, and solution architects to ensure high - quality data foundations that enable successful deployment of Client digital solutions such as OptiFlow and OptiSite. Success in this role requires excellent analytical skills, strong communication capabilities, a passion for learning new technologies, and the ability to rapidly adapt to the continuously evolving digital technologies by Client & C ognite . Key Responsibilities Data Integration & Pipeline Deployment Design, configure, and deploy end - to- end data ingestion pipelines into Cognite Data Fusion (CDF). Integrate diverse data sources including: CSV and flat files SQL and relational databases PI Systems SCADA systems SAP systems Historians and operational databases Unstructured documents and files Other industrial and enterprise data sources Ensure reliable, scalable, and secure data ingestion architectures. Troubleshoot ingestion issues and optimize pipeline performance. Data Transformation & Contextualization Transform raw source data into consumable business and engineering datasets. Perform data contextualization and establish relationships between assets, events, time series, documents, and engineering objects. Develop mapping strategies that align source systems with enterprise data models. Configure and maintain metadata structures and contextualization frameworks within CDF. Data Quality & Engineering Data Analysis Assess source data quality, completeness, accuracy, consistency, and readiness for deployment. Perform detailed data profiling and validation activities. Analyze sample datasets to…