Description :

We are looking for an experienced GCP BigQuery Developer to join our data engineering team. The ideal candidate will have strong expertise in Google BigQuery, advanced SQL skills, and basic proficiency in Python for automation and scripting. You will be responsible for designing and implementing scalable data solutions, optimizing queries, and supporting analytics and reporting initiatives.

Key Responsibilities :

- Design and implement data solutions using BigQuery and other GCP-native services.

- Develop, optimize, and troubleshoot complex SQL queries for data extraction, transformation, and analysis.

- Build and maintain data pipelines to support reporting and analytics use cases.

- Perform data validation, profiling, and quality checks to ensure data integrity.

- Collaborate with business analysts, data scientists, and engineering teams to understand data requirements.

- Write Python scripts for automation, orchestration, and lightweight data processing tasks.

- Monitor and improve performance of BigQuery workloads and queries.

- Maintain documentation of data flows, transformations, and processes.

Required Skills & Qualifications :

- 8+ to 12 years of experience in data engineering, analytics, or BI development.

- Proven hands-on experience with Google BigQuery and GCP data services (e.g., Cloud Storage, Cloud Functions; Dataflow is a plus).

- Strong expertise in SQL, including analytical functions, joins, CTEs, and window functions.

- Basic to intermediate knowledge of Python for scripting and automation.

- Solid understanding of data warehouse concepts, data modeling, and normalization.

- Familiarity with version control systems like Git.

Preferred Skills :

- Experience with ETL tools and data pipeline orchestration.

- Knowledge of Agile methodologies and cloud-based architecture best practices.