Module Lead - Cognite Data Fusion (Graph) Job

YASH Technologies, Inc.

Pune District

On-site

INR 1,200,000 - 2,400,000

Full time

14 days+

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Job summary

YASH Technologies is seeking a Module Lead for Cognite Data Fusion (Graph) in Pune to design, implement, and optimize graph data models.

You will build knowledge graphs, integrate with Cognite APIs, and ensure data quality, governance, and lineage across engineering and manufacturing sources. The role requires 7-10 years of hands-on experience with Python, SQL, ETL/ELT, and cloud platforms such as Azure or GCP.

Qualifications

  • Experience designing graph data models with Cognite Data Fusion.
  • Develop knowledge graphs across engineering and manufacturing systems.
  • Ingest and model data from data products in BigQuery and other sources.
  • Create and maintain CDF Data Models, Assets, Time Series, Events, RAW, and Transformations.
  • Ensure data quality, governance, lineage, and consistency across graph and source systems.
  • Develop automation with Python, SQL, and Cognite SDKs.
  • Deploy, monitor, troubleshoot, and optimize CDF solutions.
  • Experience with Cognite Data Fusion, APIs, Python, SQL, ETL/ELT, and cloud platforms (Azure/GCP).

Responsibilities

  • Design, develop, and maintain graph data models with Cognite Data Fusion.
  • Build and manage knowledge graphs across systems.
  • Develop and optimize integrations using CDF APIs, SDKs, REST.
  • Ingest, transform, and model data from Data products in BigQuery and other 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.
  • Develop automation with Python, SQL, and Cognite SDKs.
  • Support deployment, monitoring, troubleshooting, and performance optimization of CDF solutions.
  • Experience with Cognite Data Fusion, APIs, Python, SQL, ETL/ELT, and Cloud Platforms (Azure/GCP).

Skills

Graph data modeling
Knowledge graphs
CDF APIs/SDKs/REST
Python
SQL
ETL/ELT
Cloud platforms (Azure/GCP)

Tools

Cognite Data Fusion (CDF)
CDF SDKs
RESTful services
BigQuery
Data ingestion pipelines

Job description

Module Lead - Cognite Data Fusion (Graph) Job

Location: Pune, IN

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 hireCognite Data Fusion Professionals in the following areas :

Experience required: 7-10 years

  • 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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