Cyient is a global engineering and technology solutions company. As a Design, Build, and Maintain partner for leading organizations worldwide, we take solution ownership across the value chain to help clients focus on their core, innovate, and stay ahead of the curve. We leverage digital technologies, advanced analytics capabilities, and our domain knowledge and technical expertise, to solve complex business problems.
With over 15,000 employees globally, we partner with clients to operate as part of their extended team in ways that best suit their organization’s culture and requirements. Our industry focus includes aerospace and defence, healthcare, telecommunications, rail transportation, semiconductor, geospatial, industrial, and energy.
Job Description
Cyient is looking for energetic and disruptive domain expert in the field of Geospatial Data analytics to join our Geospatial team. We’re looking for experienced people who know how to create, transform, optimize and analyse large quantities of Geospatial data. You should be an expert in building automated and massively scalable data pipelines.
You’ll also need to be good at understand customer needs and ensuring that what you build is the most efficient way to address these, even if it means building something new or different to existing established systems.
Your Skills
Creating, identifying and moving large geospatial datasets. Including:
Building automated ETL pipelines using modern cloud technologies
Labelling/Annotation, training and validation.
Feature identification, pattern recognition and feature extraction
Processing (imagery, geospatial data).
Conversion.
GPU processing and cloud architecture for efficient data manipulation.
Creating services-based architecture combining multiple components towards a outcome.
Application Industrialisation/scale-up (Devops principles for deployment of large scale deployments in real-world production environments).
Experience of ‘human in the loop’ flowlines but with an emphasis in removing as much of the human element as possible, whilst ensuring sufficient governance and oversight for the creation of good quality outputs.
Technical Abilities
Geospatial software and platforms such as PostGIS, Esri, QGIS, FME.
Geospatial data libraries such as OGR, GDAL
Data and automation technology such as Python
Big Data (Databricks, Kubernetes, Azure data lake/data factory, etc)
Fluency in geospatial data formats including Lidar, Imagery, thermal radar, OSM and potentially SAR and hyperspectral.
Skills & Experience
Amazon Web services, Azure, Data Engineering, Data ETL, Python
Cyient is an Equal Opportunity Employer.
Cyient recruits, employs, trains, compensates, and promotes regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, veteran status, and other protected status as required by applicable law. We are proud to be a diverse and inclusive company where our people can focus their whole self on solving problems that matter.
At Cyient, we work towards improving the daily lives of people with unwavering focus. From a quieter flight to a safer train journey, a more reliable energy supply, or a faster internet connection, we provide engineering, manufacturing, geospatial, network and operations management services to industry leaders across the globe.
Our 15,000 associates are located in more than 21 countries, supporting 12 industries, including aerospace, rail transportation, power generation, telecommunications and medical technology.
With a sound track record of growth and profitability, we are committed to developing a sustainable society and actively promoting education and inclusive growth initiatives in our local communities.
We have established deep-rooted, enduring relationships with global industry leaders, by understanding their business needs, goals, culture, and core values. As part of our strong corporate ethos, co-creating business and public value is important to us. In this direction, the Cyient Foundation has developed a framework that unifies our diverse corporate social responsibility initiatives, such as government school adoptions, digital literacy programs, and social innovation technology projects.
Or, as we like to call it, Designing Tomorrow Together.
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