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
Additional Responsibilities :
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
Technical and Qualified Requirements :
Strong experience with Google BigQuery
Advanced proficiency in SQL
Hands-on experience with GCP services:
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
Preferred Skills :
Technology->Cloud Platform->GCP Database
Educational Requirements :
Bachelor of Engineering,Bachelor Of Technology,Master Of Technology,Master Of Comp. Applications