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)
🏢 JobCrexa
📍 Hyderabad