Lead GCP Data engineer

Raas Infotek is seeking a highly skilled Data Engineer with expertise in Google Cloud Platform (GCP) and BigQuery. The role involves designing, developing, and optimizing scalable data solutions, including building cloud-native data pipelines and supporting enterprise data integration initiatives.

Responsibilities:

• Design and implement scalable data pipelines using GCP services (BigQuery, Dataflow, Cloud Composer, Pub/Sub)
• Develop and optimize data models and schemas in BigQuery for high-performance analytics
• Build and maintain ETL/ELT pipelines for ingesting structured and unstructured data
• Implement data partitioning, clustering, and query optimization strategies in BigQuery
• Ability to interpret and convert SQL, and CCL Scripts into a BigQuery along with integration with GCP

Requirements:

• 15+ Years of experience
• USC/GC Visa only
• Strong expertise in Google Cloud Platform (GCP)
• Strong expertise in BigQuery
• Design and implement scalable data pipelines using GCP services (BigQuery, Dataflow, Cloud Composer, Pub/Sub)
• Develop and optimize data models and schemas in BigQuery for high-performance analytics
• Build and maintain ETL/ELT pipelines for ingesting structured and unstructured data
• Implement data partitioning, clustering, and query optimization strategies in BigQuery
• Ability to interpret and convert SQL and CCL Scripts into BigQuery along with integration with GCP