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YASH Technologies · Pune, Maharashtra

Data Engineer - Cognite Data Fusion

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Stack mentioned

data-engineeringbigquerytime-seriesdata-governancepythonsqldata-modelingetlazuregcp

Date: Sep 10, 2026

Job Requisition Id: 66250

Location:

Pune, IN

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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: 5-7 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.

At YASH, you are empowered to create a career that will take you to where you want to go while working in an inclusive team environment. We leverage career-oriented skilling models and optimize our collective intelligence aided with technology for continuous learning, unlearning, and relearning at a rapid pace and scale.

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

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