GCP Data Engineer
Posted Updated 2
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Description
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.