Description

You will design, build, and optimize data pipelines and analytics solutions on Google Cloud Platform.

This role is on-site.

Responsibilities

• Develop ETL/ELT processes to extract, transform, and load data into BigQuery or other target systems.
• Design and implement scalable data pipelines using Dataflow, Pub/Sub, Cloud Run, Python, and Linux scripting.
• Build and maintain data models, data warehouses, and data lakes for analytics and reporting.
• Optimize BigQuery queries by managing partitioning, clustering, and costs.
• Automate deployments using Terraform and CI/CD pipelines in collaboration with DevOps teams.

Required Skills

• 8+ years of experience in data engineering, ETL/ELT, and data warehousing.
• Minimum 3 years of hands-on expertise with Google Cloud Platform services (BigQuery, Dataflow, Pub/Sub, Cloud Run).
• Proficiency in SQL, Python, and Linux scripting.
• Strong knowledge of data modeling (star/snowflake) and data warehouse concepts.
• Experience with ETL tools such as Datasage, Informatica, or SSIS.
• Familiarity with CI/CD, Git, and Infrastructure as Code using Terraform.
• Experience integrating data from on-premise and cloud systems via Cloud Storage and APIs.

Key Skills

Education

Any Graduate