Description

You will build and maintain data pipelines using Google Cloud Platform services.

Responsibilities

• Design and implement data solutions leveraging Google BigQuery.
• Write and optimize complex SQL queries for data analysis and storage.
• Develop data manipulation and automation scripts using Python.
• Apply data warehousing principles to architect data solutions.

Required Skills

• 5+ years of professional experience in data engineering.
• Expert proficiency in SQL.
• In-depth knowledge of Google BigQuery features and best practices.
• Hands-on experience with GCP services including Cloud Storage, Dataflow, Cloud Functions, Pub Sub, and Composer.
• Proficiency in Python for data manipulation and API interactions.
• Solid understanding of data warehousing concepts and dimensional modeling.
• Proven ability to analyze complex data problems and design solutions.

Key Skills

Education

Any Graduate