Description

You will design, build, and maintain scalable data pipelines using Google BigQuery and GCP.

This role is remote.

Responsibilities

• Design and implement ETL processes for data extraction, transformation, and loading across systems.
• Develop data models and optimize workflows for large datasets in cloud environments.
• Ensure data quality, integrity, and governance standards are met across platforms.
• Drive automation initiatives to streamline data engineering processes and improve system performance.
• Collaborate with cross-functional teams to align data solutions with business needs and mentor junior engineers.

Required Skills

• 5+ years of experience in Data Engineering.
• Proficiency in Google BigQuery and GCP.
• Strong SQL skills for complex queries and optimization.
• Experience with ETL tools and data warehousing concepts.
• Proficiency in Python for data processing and automation.
• Strong understanding of data modeling and data governance.
• Bachelor's degree in a related field.

Key Skills

Education

Any Graduate