Data Engineer - Google Cloud Platform

Responsibilities :

- Design, build, and maintain data pipelines and ETL workflows on Google Cloud Platform.

- Work with BigQuery, Dataflow, Pub/Sub, Dataproc, and Cloud Storage to enable scalable data solutions.

- Develop and optimize data models, transformations, and analytics layers.

- Write efficient Python/SQL scripts for data processing and automation.

- Collaborate with cross-functional teams to understand data requirements and deliver solutions.

- Implement best practices for performance, scalability, security, and cost optimization.

- Support data migration and integration from traditional databases to BigQuery.

- Work with CI/CD pipelines, Docker, and Kubernetes for deployment.

Requirements :

- 5+ years of hands-on experience in Data Engineering

- Strong expertise in Google Cloud Platform (GCP) services BigQuery, Dataflow, Pub/Sub, Dataproc

- Proficiency in Python and SQL for large-scale data processing

- Solid experience with ETL pipelines, data modeling, and performance tuning

- Familiarity with Airflow/Cloud Composer for orchestration

- Experience with Docker, Kubernetes, Terraform, CI/CD is a plus

- Excellent problem-solving and communication skills