Senior/Lead Data Engineer (GCP)

We are looking for a Senior/ Lead Data Engineer (GCP)
Locations: #Hyderabad |#Bangalore | #Chennai | #Pune | #Nagpur
Experience: 8+ Years
Employment Type: Full-time | Hybrid (3 days work from office)
Interview Mode: 1 Round – Face-to-Face (Mandatory)
Notice Period: Immediate Joiners
Apply Now: https://lnkd.in/eEdAXStA
Are you passionate about building modern, scalable data platforms on the cloud? We're looking for a Senior Data Engineer to join our Data & Analytics team and lead enterprise-scale data transformation initiatives on Google Cloud Platform (GCP).
In this role, you will design, develop, and optimize cloud-native data solutions, enabling business insights through robust data pipelines, modern data warehouses, and real-time analytics platforms.
What You'll Do
Design and build scalable data pipelines and ETL/ELT solutions on GCP.
Develop and maintain enterprise data warehouses and data lakes.
Lead migration and modernization of legacy data platforms to GCP.
Build batch and real-time data processing solutions.
Collaborate with business and technical stakeholders to gather requirements and define technical solutions.
Ensure high performance, reliability, scalability, and security of data platforms.
Troubleshoot production issues and optimize data workflows.
Mentor team members and contribute to best engineering practices.
Required Skills
8+ years of Data Engineering experience
5+ years of hands-on GCP experience
Strong expertise in:
BigQuery
Dataflow
Pub/Sub
Cloud Composer (Airflow)
Cloud Scheduler
Cloud Logging & Monitoring
Advanced SQL and Python programming
Data Warehousing & Data Lake Architecture
ETL/ELT Development and Optimization
Terraform and Infrastructure as Code (IaC)
GitHub / CI-CD Practices
Performance Tuning and Data Pipeline Optimization
Experience integrating data from Oracle, Teradata, DB2, PostgreSQL, and flat files
Preferred Qualifications
IBM DataStage experience
Mainframe-to-GCP migration projects
GCP Professional Data Engineer Certification
Agile/Scrum experience
Experience designing enterprise-scale cloud data platforms

Work arrangement
Hybrid