Key Responsibilities:
- Design and implement data solutions using Big Query 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 Big Query workloads and queries
- Maintain documentation of data flows, transformations, and processes
Required Skills & Qualifications:
- 3 - 7 years of experience in data engineering, data analytics or BI development
- Proven hands-on experience with Google Big Query 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 modelling and normalization
- Familiarity with version control systems like Git
