Design, develop, and optimize BigQuery-based data warehouses and data marts
Build and maintain ETL/ELT pipelines using GCP services
Write efficient, complex SQL queries for data transformation and analysis
Work with Cloud Composer (Airflow), Dataflow, or Dataproc for pipeline orchestration
Perform data modelling (star/snowflake schema) for analytics use cases
Optimize query performance and manage BigQuery cost efficiency
Integrate data from various sources (APIs, Cloud Storage, databases, streaming sources)
Implement data validation, quality checks, and monitoring mechanisms
Collaborate with data analysts, data scientists, and business stakeholders
Ensure security and governance best practices within GCP

Experience with CI/CD tools (Cloud Build, Jenkins, GitHub Actions)
Knowledge of data visualization tools (Looker, Tableau, Power BI)
Familiarity with streaming data pipelines (Pub/Sub)
Experience with Infrastructure as Code (Terraform)
Understanding of data governance and access control in GCP
Bachelor's degree in Computer Science, IT, or related field
GCP certifications (e.g., Professional Data Engineer) are a plus

Strong experience with Google BigQuery
Advanced proficiency in SQL
Hands-on experience with GCP services:
BigQuery
Cloud Storage
Dataflow / Dataproc
Cloud Composer (Airflow)
Experience in ETL/ELT pipeline development
Good understanding of data warehousing concepts
Familiarity with Python or PySpark for data processing
Experience in performance tuning and query optimization
Knowledge of data partitioning and clustering in BigQuery

We are seeking a skilled GCP BigQuery Developer with 3-5 years of experience in building scalable data solutions on Google Cloud Platform (GCP). The ideal candidate should have strong expertise in BigQuery, SQL, and data pipeline development, with exposure to modern data engineering tools and cloud-based architectures.