Location: Pan India (Hybrid/Remote/Onsite based on project requirements)
Employment Type: Full-Time
Job Summary
We are looking for a talented GCP BigQuery Developer with 2-5 years of experience in designing, developing, and optimizing cloud-based data solutions on Google Cloud Platform (GCP). The ideal candidate should have hands-on expertise in BigQuery, SQL, data warehousing, ETL/ELT development, and cloud data engineering practices.
Key Responsibilities
- Design, develop, and maintain scalable data warehouse solutions using BigQuery.
- Build and optimize ETL/ELT pipelines for large-scale data processing.
- Develop complex SQL queries, stored procedures, and data transformations.
- Integrate data from various sources into GCP using cloud-native services.
- Collaborate with data architects, analysts, and business stakeholders to understand data requirements.
- Monitor, troubleshoot, and optimize query performance and data processing workloads.
- Implement data quality, governance, and security best practices.
- Support reporting, analytics,
and business intelligence initiatives.
- Automate data workflows and scheduling using GCP services.
- Participate in code reviews and contribute to continuous improvement initiatives.
Required Skills & Qualifications
- 2-5 years of experience in Data Engineering, Data Warehousing, or Cloud Data Platforms.
- Strong hands-on experience with:
- Google BigQuery
- Cloud Storage (GCS)
- Cloud Composer / Airflow
- Dataflow
- Pub/Sub
- Cloud Functions
- Dataproc (preferred)
- Advanced SQL development and query optimization skills.
- Experience in designing and maintaining data warehouse solutions.
- Knowledge of ETL/ELT tools and frameworks.
- Hands-on experience with Python for data processing and automation.
- Understanding of batch and real-time data processing concepts.
- Experience with version control tools such as Git.
- Familiarity with CI/CD practices and DevOps concepts.
- Robust understanding of data modeling techniques including Star Schema and Snowflake Schema.