Senior Data Engineer - Cloud & AI/ML

Valeo India Private Limited; Chennai; On-site; INR 2,500,000 - 4,500,000; Full time

Job summary

Valeo India Private Limited is seeking a Senior Engineer for GISOCC to architect data pipelines and ML-enabled solutions. The role focuses on data warehousing with BigQuery, real-time and batch processing using Pub/Sub and Dataflow, and building dashboards with Looker Studio.

You will work on DataOps, security governance, and cost optimization within a GCP environment. You should bring 4–5 years of hands-on experience in Google Cloud Platform services, Python, SQL databases, and modern data

Qualifications

• Hands-on experience with Google BigQuery, ETL/ELT, and data warehousing.
• Strong background in AI/ML apps and MLOps on GCP.
• Proficiency in Python, Shell scripting, Appscript, FastAPI, Django REST Framework, and Pandas.

Responsibilities

• Architect scalable data pipelines and big data models.
• Develop real-time and batch data processing using Pub/Sub, Dataflow, and Looker Studio dashboards.
• Ensure data quality, governance, and security across enterprise datasets.

Skills

AI & ML apps

MLOps

GCP expertise

Python

Shell scripting

REST APIs

Incident RCAs

GitHub usage

Jira/Kanban

Looker Studio

Tools

BigQuery

MySQL

PostgreSQL

Firestore

FastAPI

Django REST Framework

Pandas

LangChain

Cloud Run

Cloud Build

Containers & Registry

Appscript

Dataflow

Pub/Sub

Job description

Senior Engineer - GISOCC

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 of 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

Experience Level Senior Level