Description

You will design and develop data pipelines using GCP services.

Responsibilities

• Develop data pipelines using BigQuery, Cloud Dataflow, Cloud Function, Composer, Cloud Pub/Sub, and Cloud Storage.
• Write efficient, scalable Python code for data processing and integration.
• Implement ETL/ELT processes to ingest, transform, and store data.
• Manage and optimize data storage solutions for cost and performance.
• Monitor and troubleshoot data infrastructure and pipeline performance.

Required Skills

• 5+ years of experience in data engineering with GCP.
• Expertise in Python for data processing and automation.
• Proficiency with BigQuery, Cloud Dataflow, Cloud Function, Composer, Cloud Pub/Sub, and Etl.
• Strong understanding of data modeling and pipeline architecture.
• Experience implementing ETL/ELT processes.
• Google Professional Data Engineer certification.
• Any Graduate degree.

Key Skills

Education

Any Gradute