Description

Lead the design and implementation of scalable data pipelines on Google Cloud Platform, with a focus on PyText integration.

This role is hybrid.

Responsibilities

• Build and maintain ETL/ELT pipelines using GCP services including BigQuery, Cloud Storage, Dataflow, and Dataproc.
• Develop and optimize data processing workflows using Python and SQL.
• Integrate PyText for NLP tasks within the data engineering stack.
• Ensure pipeline reliability, performance, and monitoring.

Required Skills

• 5+ years of experience in data engineering.
• Strong proficiency in Google Cloud Platform (BigQuery, Cloud Storage, Dataflow, Dataproc).
• Expert-level Python and SQL skills.
• Hands-on experience with PyText.
• Proven track record building ETL/ELT pipelines.
• Any Graduate degree.

Key Skills

Education

Any Graduate