Description

You will design, build, and optimize scalable 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 target systems.
• Build and maintain data models, data warehouses, and data lakes for analytics and reporting.
• Design and implement secure, efficient data pipelines using Dataflow, Pub/Sub, Cloud Run, Python, and Linux scripting.
• Optimize BigQuery queries, manage partitioning and clustering, and handle cost optimization.
• Automate deployments using Terraform, Cloud Build, and CI/CD pipelines while integrating on-premise and cloud systems.

Required Skills

• 8+ years of experience in data engineering, ETL/ELT, SQL, Python, and Linux scripting.
• 3+ years of hands-on expertise with Google Cloud Platform services including BigQuery, Cloud Storage, Cloud Run, Dataflow, Cloud SQL, AlloyDB, Cloud Balancer, Pub/Sub, IAM, Logging, and Monitoring.
• Experience with ETL tools such as Datastage, Informatica, or SSIS.
• Proficiency in data modeling (star/snowflake) and data warehouse concepts.
• Familiarity with CI/CD, Git, and Infrastructure as Code (Terraform).
• Bachelor's degree in Computer Science, Information Technology, or a related field.
• Strong problem-solving and analytical mindset with effective communication skills.

Preferred Skills

• Google Cloud Platform Professional Data Engineer or Cloud Architect certification.
• Experience with data quality, monitoring, and governance best practices.

Key Skills

Education

Any Graduate