GCP Data Engineer

GCP Data Engineer

Location: PAN India
Experience: 512 Years
Work Mode: Hybrid

Job Summary

We are looking for an experienced GCP Data Engineer to design, develop, and maintain scalable data pipelines and cloud-based data solutions using Google Cloud Platform.

Key Responsibilities

• Design and develop data pipelines for data ingestion, transformation, and processing.
• Work with GCP services such as BigQuery, Dataflow, Dataproc, Cloud Storage, and Pub/Sub.
• Develop complex SQL queries and implement data transformations using Python or PySpark.
• Build and optimize ETL/ELT workflows for efficient data processing.
• Perform performance tuning, data quality checks, and troubleshooting.
• Collaborate with cross-functional teams to deliver reliable and scalable data solutions.

Required Skills

• Strong hands-on experience with Google Cloud Platform (GCP) and data engineering.
• Experience with BigQuery, Cloud Storage, and data pipeline development.
• Proficiency in SQL and Python/PySpark.
• Knowledge of ETL/ELT processes, data warehousing, and data modeling.
• Experience with Dataflow, Dataproc, or other GCP data processing services.
• Understanding of data optimization, orchestration, and cloud data architecture.

Preferred Skills

• Experience with Apache Beam, Pub/Sub, Composer, or Airflow.
• Knowledge of CI/CD, data governance, and data security practices.