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 Responsibilities Technical 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 Skills Mandatory 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.

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