Valeo

Automotive electrification, ADAS, interior lighting tech

Senior Engineer - GISOCC, IS Technology

Data Management +1Confirmed live in the last 24 hours

Full-timeChennai, Tamil Nadu, IndiaNo salary listedIn-person

About the Job

Requirements

Four to five years of hands-on experience with Google BigQuery, ETL processes, and AI and machine learning applications, including MLOps, with a strong emphasis on Google Cloud Platform.
Deep proficiency in Google Cloud Platform services and governance tools.
Advanced proficiency in Python 3.10 or later, shell scripting, Linux command-line interface, Apps Script with JavaScript, FastAPI, Django REST Framework, Pandas, and LangChain.
Experience with MySQL 8.0 or later, PostgreSQL 13 or later, Firestore, and BigQuery.
Experience with Cloud Run, Cloud Run Functions, containers, and container registries.
Experience with GitHub, GitHub Actions, and Cloud Build.
Proficiency with Linux operating systems, Jira, Kanban, and Looker Studio.
Knowledge of REST APIs, XML, and L3 incident response and root-cause analysis.

Responsibilities

Architect scalable ETL/ELT pipelines and high-performance BigQuery databases using modeling, partitioning, and clustering strategies.
Implement real-time Pub/Sub and Dataflow processing and batch pipeline solutions for analytical and operational workloads.
Build MLOps pipelines and orchestrate LLM and agentic workflows using LangChain, Agent Platform, Pandas, and Airflow.
Build operational interfaces and analytical dashboards using Apps Script with JavaScript, React, and Looker Studio.
Establish automated data testing, lineage tracking, and proactive monitoring to detect and resolve data anomalies.
Enforce IAM policies, data encryption, and GDPR and HIPAA compliance standards across enterprise data assets.
Audit and tune query execution, pipeline performance, and storage usage to control cloud costs.
Serve as the senior L3 escalation authority for GCP and BigQuery platform issues, performing root-cause analysis and resolving issues promptly.
Conduct architecture reviews, manage cloud-service deprecations, and ensure solutions align with enterprise security standards.
Deliver projects using Agile and Kanban methodologies in Jira and enforce version-control standards using GitHub.

Desired Qualifications

Familiarity with multi-cloud environments such as AWS, Microsoft Azure, or Alibaba Cloud.

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.

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.

Job:

Business Applications Analyst

Organization:

Business Applications

Schedule:

Full time

Employee Status:

Regular

Job Type:

Permanent contract

Job Posting Date:

2026-10-09

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: https://www.valeo.com

About the Company

Valeo

Automotive electrification, ADAS, interior lighting tech

Valeo creates technology for automakers to make cars cleaner, safer, and smarter, focusing on four areas: electrification, driving assistance, reinvented interior experiences, and lighting. Its products combine electrical systems, sensors, software, and lighting that are designed, manufactured, and integrated into vehicles to enable electric propulsion, automated driving features, smarter interiors, and advanced illumination. The company differentiates itself by being a global industrial and technology leader with a large manufacturing footprint and a broad, cross‑domain portfolio across mobility transformation. Valeo’s goal is to help the transportation system shift toward cleaner, safer, and smarter mobility worldwide.

Company size: 10,001+
Company stage: IPO
Headquarters: Paris, France
Founded: 1923

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