Job Title: Senior Data Engineer – Technical Lead (GCP) Experience: 10+ Years Location: Remote (Candidate must collect company assets from the client location) Shift Timing: 2:00 PM – 11:00 PM IST About the Role We are looking for an experienced Senior Data Engineer – Technical Lead to lead a Business-As-Usual (BAU) Data Engineering team responsible for maintaining, optimizing, and enhancing production data pipelines on Google Cloud Platform (GCP). This is a hands-on technical leadership role where you will drive operational excellence, mentor a team of data engineers, troubleshoot production issues, optimize Airflow pipelines, and ensure smooth delivery of reliable data solutions from Data Lake to Enterprise Data Warehouse. Key ResponsibilitiesTechnical Leadership - Lead and mentor an offshore Data Engineering BAU team.

- Provide technical guidance and ensure alignment with engineering best practices.
- Collaborate effectively with US stakeholders during overlapping working hours.

Production

Support & Incident Management - Act as the highest escalation point for production data issues.

- Troubleshoot and resolve complex pipeline failures.
- Perform root cause analysis and implement permanent fixes.

Data Pipeline





Management - Manage end-to-end data movement from Data Lake → Dimensions/Facts → Data Warehouse.

- Implement SQL fixes, Airflow DAG enhancements, data backfills, and validation processes.
- Optimize pipeline performance and ensure data reliability. Change & Release Management - Execute production deployments with proper testing and rollback strategies.
- Maintain documentation and deployment evidence.
- Follow ITIL and Change Management best practices.

Continuous

Improvement - Identify recurring production issues and automate solutions using Python and SQL.

- Reduce manual intervention through process optimization.
- Improve monitoring, performance, and operational efficiency.

Required

SkillsMandatory Skills - SQL Server

- Python
- Apache Airflow / Cloud Composer
- Hadoop
- Google BigQuery
- Data Lake
- Google Cloud Platform (GCP Required Experience - 10+ years of Data Engineering experience.
- Proven experience leading technical teams or acting as a Technical Lead.
- Extensive hands-on experience with production support in enterprise data environments.
- Solid expertise in SQL optimization, Airflow orchestration, and Python development.
- Experience working with global stakeholders and supporting US business hours.

📌 Senior Big Data Engineer (10 + Years) (India)
🏢 MindBrain
📍 India