Found.dev
Role Highlights
Languages used
R
SQL
Key skills
Data Science
Data Engineer
CICD
Data Quality
Cloud
Batch
Streaming
DataFlow
Storage
Tools, Libraries and Frameworks
GCP
BigQuery
CDI
Vue.js
Description
The role involves providing technical leadership by defining data architecture on Google Cloud Platform and mentoring a team of data engineers. The professional will design and implement data pipelines for both batch and streaming processes while deploying solutions across various cloud services. Responsibilities include optimizing performance and costs through FinOps practices and establishing data lake or data warehouse architectures. The position requires ensuring data quality, security, and reliability through monitoring frameworks and regulatory compliance. Additionally, the individual will collaborate with business intelligence and data science teams to support client data strategies.
Required Qualifications and Skills
Candidates must hold a Bac+5 degree from an engineering school or university in computer science or data. A minimum of six years of experience in data engineering is required, along with confirmed expertise in Google Cloud Platform. Proficiency in SQL and Python is necessary, as well as experience with distributed environments like Spark. The role also requires knowledge of CI/CD tools, DevOps practices, technical management experience, and fluency in English.
Disclaimer
Disclaimer: Job and company description information and some of the data fields may have been generated via GPT-4 summarisation and could contain inaccuracies. The full external job listing link should always be relied on for authoritative information.
About the company
ALTEN
Description
ALTEN Group supports the development strategy of its customers in the fields of innovation, R&D and technological information systems. Created 30 years ago, the Group has become a world leader in Engineering and Technology consulting. 24 700 highly qualified engineers carry out studies and conception projects for the Technical and Information Systems Divisions of major customers in the industrial, telecommunications and Service sectors. Our business lines: ENGINEERING R&D and Manufacturing outsourcing : \\> Consulting \\> R&D externalization / Design & Development \\> Manufacturing engineering \\> Supply chain and Quality \\> Testing \\> Customer Support training ENTERPRISE SERVICES Internal IT: \\> Consulting functional knowledge \\> technical expertise (Digital, BI...) \\> IT applications / Life Cycle Management Internal Network: \\> Architecture and Security \\> Deployment Integration Support
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