Description

You design, build, and optimize data pipelines and analytics solutions within 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, secure data pipelines on GCP using Dataflow, Pub/Sub, and Cloud Run.
• Build and maintain data models, data warehouses, and data lakes for analytics and reporting.
• Optimize BigQuery queries, managing partitioning, clustering, and cost management.
• Automate deployments alongside DevOps teams using Terraform and CI/CD pipelines.

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.
• Experience with data modeling (star/snowflake) and data warehouse concepts.
• Familiarity with ETL tools such as Datasage, Informatica, or SSIS.
• Understanding of CI/CD practices, Git, and Infrastructure as Code using Terraform.
• Experience integrating data from on-premise and cloud systems via APIs and Cloud Storage.

Key Skills

Education

Any Graduate