Description

Design and manage enterprise-grade data solutions using Google Cloud Platform, Databricks, Looker, and Dataform.

This role is on-site.

Responsibilities

• Design scalable data platform architectures integrating BigQuery, Dataflow, Cloud Storage, and Pub/Sub.
• Build and maintain data workflows and semantic models using Dataform, Databricks, and Looker.
• Establish CI/CD pipelines for data workflows, automating deployments and monitoring.
• Define and enforce data governance, security, and compliance standards across the platform.

Required Skills

• 5+ years of experience with Google Cloud Platform data services.
• Hands-on expertise with Databricks, Dataform, and Looker.
• Advanced proficiency in Python, SQL, and Spark.
• Experience with BigQuery, Dataflow, and Cloud Storage.
• Knowledge of CI/CD tools and Terraform for Infrastructure as Code.
• Proven ability to design end-to-end enterprise data architectures.

Preferred Skills

• Google Professional Data Engineer or Cloud Architect certification.
• Databricks Certified Data Engineer certification.

Key Skills

Education

Any Graduate