We're Hiring: Senior Data Engineer / Technical Lead
Experience: 10+ Years
Location: Remote
Shift: 2:00 PM – 11:00 PM IST

Role Overview
We are looking for a hands-on Technical Lead / Senior Data Engineer to lead a BAU Data Engineering team responsible for the stability, reliability, production support, and continuous improvement of data pipelines on GCP .
The role requires robust hands-on expertise across the Data Lake → Dimensions/Facts → Data Warehouse lifecycle, along with team leadership and production troubleshooting capabilities.

Key Responsibilities
Lead and mentor an offshore BAU Data Engineering / Production Support team .
Act as the technical escalation point for pipeline failures and data issues .
Troubleshoot production issues and implement SQL fixes, DAG updates, backfills, and validations .
Build and optimize Apache Airflow / Cloud Composer DAGs , including Jinja templating.
Optimize BigQuery queries, partitioning, clustering, and cost .




Develop Python automation to reduce recurring production issues and manual effort.
Ensure strict ITIL, change management, testing, deployment, evidence, and rollback processes.
Work closely with global/US teams and provide required working-hour overlap.
Drive continuous improvement and reduce technical debt.

Mandatory Skills
✅ SQL Server
✅ Python
✅ Apache Airflow / Cloud Composer
✅ Hadoop
✅ Google BigQuery
✅ Data Lake
✅ Production Support / Incident Management
✅ Data Engineering Technical Leadership

Preferred Skills
BigQuery SCD Type 1 & Type 2
Partitioning & Clustering
Kimball Data Warehouse methodology
Star Schema, Dimensions & Facts
Salesforce data integration
GCP Data Engineering
Python automation & API integration
BAU / Production Support
ITIL & Change Management

Interested candidates can share their updated resume.

To this Email address -

📌 GCP Senior Data Engineer (Hyderabad)
🏢 TECEZE
📍 Hyderabad