Key Roles & Responsibilities
Data Architecture & AI/ML Engineering
ETL/ELT & Data Warehousing: Architect scalable pipelines and high-performance BigQuery databases using advanced modeling, partitioning, and clustering strategies.
Stream & Batch Processing: Implement real-time (Pub/Sub, Dataflow) and batch pipeline solutions to feed analytical and operational workloads.
MLOps & Generative AI: Build MLOps pipelines and orchestrate LLM/Agentic workflows using LangChain, Agent Platform, Pandas, and Airflow.
Dashboards & UIs: Build operational interfaces and analytical dashboards using Apps Script (JavaScript), React, and Looker Studio.
DataOps, Security & Governance
Data Quality & DataOps: Establish automated testing, lineage tracking, and proactive monitoring to detect and fix data anomalies early.
Security & Access Control: Enforce IAM policies, data encryption, and compliance standards (GDPR, HIPAA) across all enterprise data assets.
Optimization & Operational Excellence
Performance & Cost Optimization: Audit and tune query execution, pipeline speed, and storage footprints to keep cloud costs strictly controlled.
L3 Support & RCA: Act as the senior L3 escalation authority for GCP and BigQuery platform issues, driving root-cause analysis and rapid resolution.
Governance & Deprecation: Conduct architecture reviews, manage cloud service deprecations, and ensure solutions align with enterprise security standards.
Agile Execution: Deliver projects using Agile/Kanban methodologies in Jira and enforce version control standards using GitHub.
Experience / knowledge
Core Experience: 4 to 5 years of hands-on experience in Google Big Query, ETL Process, AI & ML Apps, MLOps with a strong emphasis on GCP.
Cloud Platforms: Deep proficiency in Google Cloud Platform (GCP) services and governance tools. Preferably familiarity with multi-cloud environments such as AWS, Microsoft Azure, or Alibaba Cloud.
Programming Languages & Frameworks: Advanced Python (3.10+), Shell Scripting (Linux CLI), and Appscript(JavaScript), FastAPI, Django REST Framework, Pandas, and LangChain.
Databases & ETL Tools: MySQL (8.0+), PostgreSQL (13+), Firestore, BigQuery.
Compute: Cloud Run, Cloud Run Functions, Containers & Registry.
CI/CD & Source Control: GitHub, GitHub Actions, Cloud Build.
OS & Tools: Linux OS (command line proficiency), Jira, Kanban, Looker Studio.
Concepts: REST APIs, XML, and L3 Incident Response/RCA.
Join 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: