Cognite Solution Lead
Cognite Solution Lead
Posted on :
12-04-2025
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1 Vacancy
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Job Description
Infosys is seeking a lead Data Architect/Cognite Solution in Calgary is a global leader in technology services and consulting. We enable clients in more than 50 countries to create and execute strategies for their digital transformation. From engineering to application development knowledge management and business process management we help our clients find the right problems to solve and to solve these effectively. Our team of 190000 innovators across the globe is differentiated by the imagination knowledge and experience across industries and technologies that we bring to every project we undertake.
Location for this position is Calgary position may require 10 travel.
Qualifications Basic
Candidate must be located within commuting distance of Calgary or be willing to relocate to the area. This position may require travel.
Bachelors degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.
At least 4 years of Information Technology experience.
Candidates authorized to work for any employer in Canada without employerbased visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role at this time.
Key Words:
Cognite Data Fusion Cognite Data Architect Data Bricks Azure Data Factory.
Mandatory skills
At least 1012 years of experience in data modeling data engineering data governance advanced analytics with domain knowledge and exposure to industrial sectors such as Energy Manufacturing Petrochemicals Oil & Gas.
Working knowledge in the Industrial Data platform and Engineering Analytics tools such as Cognite Data Fusion CDF Azure Data Factory Azure Databricks Azure Data Lake etc.
Independently manage integration data modeling and related activities using Cognite tools (connectors SQL Python/Java Rest APIs).
Define enterprise and solution architecture including integration data models and data pipelines using CDF solution offerings.
Knowledge on Cognite Infield and Maintain or any other relevant platform.
Understanding of CDF architecture components data modeling capabilities data ingestion and transformation features data visualization and analysis tools.
Proven experience in designing and implementing applications that leverages maintenance production and process data.
Strong skills in ETL processes data integration tools technique and data pipelines.
Proficiency in languages such as Python and SQL for scripting automation and querying data within the data platform.
Experience working with REST APIs to integrate external data sources with data platform.
Knowledge in define the data requirements and structure for the application.
Experience in Data modeling and design the application data structure storage and integration.
Familiarity with applying ML models Gen AI Tech stack LLM skills AI and analytics with the data platform environment.
Knowledge on different source of data such as SAP data Production and Operation data Time series data Engineering data.
Understanding of Industry standards (ISA 95 and Industry 4.0 and maintenance strategies of any Manufacturing or Industry sector.
Knowledge in application development architectural frameworks SDLC methodologies including Design Development Integration Testing Security Access and others.
Familiar in Network Topology / Database Server / Hosting components / Industrial communication protocols etc
Good communication and coordination skills with internal and external stakeholders
Ability to lead and mentor Data Engineers Development and Testing teams.
The job entails sitting as well as working at a computer for extended periods of time. Should be able to communicate by telephone email or face to face.
About Us
Infosys is a global leader in nextgeneration digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AIpowered core that helps prioritize the of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our alwayson learning agenda drives their continuous improvement through building and transferring digital skills expertise and ideas from our innovation ecosystem.
Location for this position is Calgary position may require 10 travel.
Qualifications Basic
Candidate must be located within commuting distance of Calgary or be willing to relocate to the area. This position may require travel.
Bachelors degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.
At least 4 years of Information Technology experience.
Candidates authorized to work for any employer in Canada without employerbased visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role at this time.
Key Words:
Cognite Data Fusion Cognite Data Architect Data Bricks Azure Data Factory.
Mandatory skills
At least 1012 years of experience in data modeling data engineering data governance advanced analytics with domain knowledge and exposure to industrial sectors such as Energy Manufacturing Petrochemicals Oil & Gas.
Working knowledge in the Industrial Data platform and Engineering Analytics tools such as Cognite Data Fusion CDF Azure Data Factory Azure Databricks Azure Data Lake etc.
Independently manage integration data modeling and related activities using Cognite tools (connectors SQL Python/Java Rest APIs).
Define enterprise and solution architecture including integration data models and data pipelines using CDF solution offerings.
Knowledge on Cognite Infield and Maintain or any other relevant platform.
Understanding of CDF architecture components data modeling capabilities data ingestion and transformation features data visualization and analysis tools.
Proven experience in designing and implementing applications that leverages maintenance production and process data.
Strong skills in ETL processes data integration tools technique and data pipelines.
Proficiency in languages such as Python and SQL for scripting automation and querying data within the data platform.
Experience working with REST APIs to integrate external data sources with data platform.
Knowledge in define the data requirements and structure for the application.
Experience in Data modeling and design the application data structure storage and integration.
Familiarity with applying ML models Gen AI Tech stack LLM skills AI and analytics with the data platform environment.
Knowledge on different source of data such as SAP data Production and Operation data Time series data Engineering data.
Understanding of Industry standards (ISA 95 and Industry 4.0 and maintenance strategies of any Manufacturing or Industry sector.
Knowledge in application development architectural frameworks SDLC methodologies including Design Development Integration Testing Security Access and others.
Familiar in Network Topology / Database Server / Hosting components / Industrial communication protocols etc
Good communication and coordination skills with internal and external stakeholders
Ability to lead and mentor Data Engineers Development and Testing teams.
The job entails sitting as well as working at a computer for extended periods of time. Should be able to communicate by telephone email or face to face.
About Us
Infosys is a global leader in nextgeneration digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AIpowered core that helps prioritize the of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our alwayson learning agenda drives their continuous improvement through building and transferring digital skills expertise and ideas from our innovation ecosystem.
Employment Type
Full Time
Key Skills
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