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 robust emphasis on GCP.
Cloud Platforms: Deep proficiency in Google Cloud Platform (GCP) services and governance tools. Preferably familiarity with multi-cloud settings 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.

📌 Senior Engineer Gisocc Is Technology Chennai (India)
🏢 Valeo
📍 India