Job Summary:
We are looking for a talented GCP Big Query Developer with strong SQL skills and basic proficiency in Python to join our data engineering team. The ideal candidate should have hands-on experience working with Google Cloud Platform (GCP) services, particularly BigQuery, and be capable of writing efficient SQL queries to support data transformation, analytics, and reporting tasks.
Key Responsibilities:
- Design and implement data solutions using BigQuery and GCP-native services.
- Develop, optimize, and troubleshoot complex SQL queries for data extraction 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 engineers to understand data needs.
- 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:
- Experience in data engineering, data analytics, or BI development.
- Proven hands-on experience with Google BigQuery and GCP data services (e.g., Cloud Storage, Cloud Functions, Dataflow – optional).
- Strong expertise in SQL, including analytical functions, joins, CTEs, and window functions.
- Basic to intermediate knowledge of Python for scripting and automation.
- Understanding of data warehouse concepts, data modeling, and normalization.
- Familiarity with version control systems like Git.
