Senior Data Engineer
CAIRO - CAI1
Valeo
Valeo is an automotive supplier and partner to automakers worldwide. As a tech company, we design innovative solutions for smart mobility.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.
Building automation tooling and pipelines that enable secured systems to be deployed across a variety of environments, including public/private cloud and virtual machines.
Solving challenging problems involving system and environment internals, to provide solutions that are simple to use, but can be customised to meet customer needs.
Collaborating with stakeholders to test build releases and ensure builds provide a consistent core foundation for hosting government and commercial applications.
Participate in planning, implementation, and growth of the infrastructure on Amazon Web Services (AWS).
Build scalable ETL pipelines to ingest data from a variety of data sources.
Write AWS Lambda Functions in Python for the automation of other AWS resources.
Create serverless workflows with AWS Step Functions.
Write CloudFormation templates to deploy stacks in different AWS environments
Supporting technologies and products like Amazon Athena, AWS Glue, Amazon EMR, AWS Step Functions, AWS CloudFormation, RedShift Spectrum, QuickSight, Amazon Forecast, Amazon Recommender and others
Developing automation to standardise and secure cloud services
Developing automation to standardise and automated Data Science Model
Developing dashboards, advanced BI report to visualise advanced data science model output
Developing frontend and backend applications including chatbots, user centric websites to serve internal and external stakeholders to increase the value delivery by data science teams.
Design and develop micro services architecture
Help troubleshoot issues in the cloud.
Help setup of POC of new services offered by AWS for potential solution viability.
Occasionally write Bash scripts for automation
Requirements :
Minimum of 1 to 3 years of experience. with most of these qualities:
Understands basic AWS infrastructure concepts including but not limited to VPC, Subnets, NACLs, Security Groups, EC2, S3, IAM, ELBs, Lambdas, CloudWatch, CloudTrail etc.
Understanding basics of CloudFormation, Step Functions, Data Lake, Athena, Glue, EMR, RedShift Spectrum, QuickSight
Previous experience with Amazon DataHub, Personalise and Forecast is a plus
Understanding of ML concepts is appreciated
Desired experience with practices and concepts: DevSecOps, GitOps, ConfigOps, Configuration as Code, Infrastructure as Code, CI/CD, Declarative Programming, Event-driven Architectures/Pipelines
Computer science, Engineering, Statistics, and Information Systems BSc. Master of Science is a plus.
1 to 3 years of experience in cloud automation is required.
Previous experience with Amazon AWS technologies is of great value. Any Amazon Certificates is a plus.
Job:
R&D EngineerOrganization:
Software DevelopmentSchedule:
Full timeEmployee Status:
RegularJob Type:
Job Posting Date:
2024-05-07Join Us !
Being part of our team, you will join:
- one of the largest global innovative companies, with more than 20,000 engineers working in Research & Development
- a multi-cultural environment that values diversity and international collaboration
- more than 100,000 colleagues in 31 countries... which make a lot of opportunity for career growth
- a business highly committed to limiting the environmental impact if its activities and ranked by Corporate Knights as the number one company in the automotive sector in terms of sustainable development
More information on Valeo: https://www.valeo.com
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture Athena AWS AWS Glue Chatbots CI/CD CloudFormation Computer Science EC2 Engineering ETL Lambda Machine Learning Pipelines Python QuickSight R R&D Redshift Research Security Statistics Step Functions
Perks/benefits: Career development Team events
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