Description

You will lead the design and implementation of end-to-end data pipelines on Google Cloud Platform.

This role is on-site.

Responsibilities

• Design, implement, and optimize scalable data pipelines on GCP.
• Develop and maintain ETL workflows for efficient data processing.
• Leverage PySpark for advanced data transformations, cleansing, and validation.
• Utilize BigQuery, Cloud Storage, and Dataflow to manage data engineering tasks.
• Implement and manage data storage solutions within the GCP ecosystem.

Required Skills

• 6+ years of experience in data engineering.
• Expertise in PySpark for data processing and analytics.
• Proficiency with GCP services including BigQuery, Cloud Storage, and Dataflow.
• Strong programming skills in Python, SQL, or Scala.
• Hands-on experience with ETL processes and data modeling.
• Experience with data warehousing architectures.

Preferred Skills

• Relevant certifications in GCP or data engineering.

Key Skills

Education

Any Graduate