Senior Data Engineer for GCP Development

We are looking for a highly skilled Senior Data Engineer with 8+ years of experience in designing, developing, and modernizing enterprise-scale data platforms. The ideal candidate should have strong expertise in Google Cloud Platform (GCP) and hands-on experience building scalable data pipelines, data migration, and modernization initiatives.

Key Responsibilities
Design, develop, and optimize end-to-end data pipelines on Google Cloud Platform (GCP).
Build and maintain scalable ETL/ELT solutions using GCP services such as BigQuery, Dataflow, Dataproc, Cloud Storage, Pub/Sub, and Composer.
Lead data modernization and migration projects from legacy/on-premise systems to GCP.
Implement data integration, transformation, and orchestration processes for large-scale datasets.
Ensure data quality, governance, security, and performance best practices.
Collaborate with business stakeholders, architects, and cross-functional teams to deliver data-driven solutions.
Required Skills
8+ years of experience in Data Engineering and Data Warehousing.
Strong hands-on experience with GCP Data Engineering services.
Expertise in building batch and real-time data pipelines.
Proficiency in SQL, Python, and ETL/ELT frameworks.
Experience with BigQuery, Dataflow (Apache Beam), Dataproc, Cloud Composer (Airflow), and Pub/Sub.
Knowledge of data modeling, performance tuning, and cloud-native architectures.
Experience in data migration and modernization programs.
Preferred Qualifications
GCP Professional Data Engineer Certification.
Experience with CI/CD, DevOps, and Infrastructure as Code (Terraform).
Exposure to modern data lake/lakehouse architectures.