Description

Lead the design and development of scalable data pipelines on Google Cloud Platform.

This role is on-site.

Responsibilities

• Design, build, and maintain scalable data pipelines using Dataflow, Pub/Sub, Cloud Functions, and Cloud Composer.
• Implement ETL processes to ingest data from various sources into BigQuery.
• Architect and optimize data warehousing solutions and database designs.
• Mentor junior engineers and guide technical decisions for data infrastructure.
• Collaborate with teams to ensure robust data modeling and processing workflows.

Required Skills

• 7+ years of experience in data engineering.
• Extensive hands-on experience with Google Cloud Platform (GCP).
• Proficiency in BigQuery, Dataflow, Pub/Sub, Cloud Storage, and Cloud Composer.
• Strong programming skills in Python or Java.
• Deep knowledge of ETL tools and processes.
• Proficiency in SQL and database optimization.
• Experience with data modeling and big data processing frameworks.

Preferred Skills

• Familiarity with data visualization tools like Looker or Data Studio.
• Knowledge of machine learning workflows and tools.

Key Skills

Education

Any Graduate