We are looking for a skilled GCP BigQuery Data Engineer to design, develop, and optimize large-scale data warehouse solutions on Google Cloud Platform (GCP). The ideal candidate will have solid expertise in BigQuery, data pipelines (ETL/ELT), and SQL performance optimization, along with hands-on experience in building scalable and secure data solutions.

Key Responsibilities:
Design and optimize BigQuery data models, schemas, and storage structures for performance and cost efficiency
Develop and maintain scalable ETL/ELT pipelines using tools like Cloud Composer (Airflow), Dataflow, and Dataproc
Write and optimize complex SQL queries (GoogleSQL) for high-performance data processing
Manage data ingestion pipelines using tools such as Pub/Sub and Dataflow
Integrate data from multiple sources into BigQuery and ensure data quality
Implement data governance, security, and access control mechanisms
Monitor and optimize query performance and BigQuery resource utilization (cost control)
Collaborate with data analysts, scientists,



and business teams for data solutions
Document data architecture, processes, and workflows

Required Skills Qualifications:
Robust hands-on experience with GCP BigQuery and Cloud Storage (Mandatory)
Proficiency in SQL (GoogleSQL) and Python
Experience in building ETL/ELT pipelines and data workflows
Hands-on experience with Dataflow, Cloud Composer (Airflow), or Dataproc
Knowledge of data modeling and data warehousing concepts
Experience with data ingestion tools like Pub/Sub
Understanding of data governance, security, and access controls
Robust problem-solving and analytical skills

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Gcp Bigquery Specialist Hyderabad
🏢 RARR Technologies
📍 Hyderabad