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 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.

📌 Senior Engineer - GISOCC IS Technology (Chennai)
🏢 Valeo
📍 Chennai