Valeo
automotive
SeniorDisciplineEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Discipline Engineer at Valeo. Skills: data pipeline architecture, big data data pipelines, cloud Automation (GCP/Azure/AWS), Python, Machine Learning. Create and maintain optimal data pipeline architecture. Assist with assembling large, complex data sets that meet functional / non-functional business requirements”
Industry & Context.
Excellent analysis & trouble-shooting skills using a structured documented approach
What They're Looking For.
Must Have
Experience building and optimizing ‘big data’ data pipelines, architectures and data sets, Manipulating, processing and extracting value from large disconnected datasets, Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores, Experience in cloud Automation (GCP/Azure/AWS), Experience with use of software design patterns and data structures, Expertise in python programming and good coding practices, Excellent analysis & trouble-shooting skills using a structured documented approach, Excellent communication skills, both written and verbal, experience in capitalising knowledge & best practices through creation and/or updating of standard, experience in training and mentoring team members
Nice to Have
Knowledge of GCP, Knowledge of Azure, Knowledge of AWS, Knowledge of Pytorch, Knowledge of Classification, Knowledge of regression, Knowledge of clustering, Knowledge of CNNs, Knowledge of RNNs
What You'll Do.
Create and maintain optimal data pipeline architecture
Assist with assembling large
complex data sets that meet functional / non-functional business requirements
and implement internal process improvements: automating manual processes
optimizing data delivery
re-designing infrastructure for greater scalability
Build the infrastructure required for optimal extraction
and loading of data from a wide variety of data sources and technologies eg. GCP
Work with and manage datasets both internal and external
with details of licensing
grow and retain talent
providing technical leadership and direction
Support for robust ML & CI /CD pipelines automation
How You'll Work.
Team & Collaboration
Work with stakeholders including the Function owner, architects, Leads, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs; Work with data and analytics team to strive for greater functionality in our data systems; training and mentoring team members
Communication Scope
Excellent communication skills, both written and verbal
Full Job Description
Valeo is a tech global company, designing breakthrough solutions to reinvent the mobility. We are an automotive supplier partner to automakers and new mobility actors worldwide. Our vision? Invent a greener and more secured mobility, thanks to solutions focusing on intuitive driving and reducing CO2 emissions. We are leader on our businesses, and recognized as one of the largest global innovative companies. **Responsibilities:** * Create and maintain optimal data pipeline architecture * Assist with assembling large, complex data sets that meet functional / non-functional * business requirements. * Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc. * Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources and technologies eg. GCP. * Work with and manage datasets both internal and external, with details of licensing, * annotation format, classes/tasks, etc. * Work with stakeholders including the Function owner, architects, Leads, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs. * Work with data and analytics team to strive for greater functionality in our data systems. * Build, grow and retain talent, providing technical leadership and direction * Support for robust ML & CI /CD pipelines automation **Skills:** * Programming: Python, Pytorch * Machine Learning: Classification, regression, clustering, CNNs and RNNs * Experience building and optimizing ‘big data’ data pipelines, architectures and data sets * Manipulating, processing and extracting value from large disconnected datasets. * Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores. * Experience in cloud Automation (GCP/Azure/AWS) * Experience with use of software design patterns and data structures
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