Description

You will build, maintain, and optimize data pipelines and warehousing solutions on Google Cloud Platform.

This role is on-site.

Responsibilities

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

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: 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 effective solutions.

Key Skills

Education

Any Graduate