Job Title-Google Bigquery & Looker Developer

Experience-5+ years

Location- Bangalore

- Strong hands-on experience in Google BigQuery, advanced SQL, and enterprise data warehousing.
- Proficiency in Looker and LookML development, including dashboards, data modelling, Explores, and reporting.
- Advanced knowledge of Python programming for data processing, automation, and integration.
- Hands-on experience with Google Dataflow and ETL/ELT pipeline development.
- Practical experience in data warehouse migration projects to GCP/BigQuery, including migration planning, data conversion, validation, and reconciliation.
- Strong understanding of data modelling, dimensional modelling, data integration, and data warehouse architecture.
- Experience in query optimization, performance tuning, data quality, cloud data security, technical leadership, and stakeholder management.

Positive-to-Have Skills

- Google Cloud Platform (GCP) services and architecture.
- Experience migrating SQL Server, Oracle, Teradata, or other enterprise data warehouse platforms to BigQuery.
- Cloud Storage, Cloud Composer, Dataform/dbt.
- Git, CI/CD, and deployment automation.
- Experience with cloud-based data modernization and legacy data warehouse transformation initiatives.

Roles & Responsibilities
- Lead the design, development, and implementation of scalable data solutions using Google BigQuery, SQL, Python, and Google Dataflow.
- Design and develop data warehouse models, complex SQL queries, views, stored procedures, and optimized data transformation processes.




- Develop and maintain ETL/ELT pipelines, including data ingestion, transformation, integration, and incremental data loading.
- Develop and maintain Looker dashboards, reports, LookML models, Explores, dimensions, and measures for business reporting and analytics.
- Collaborate with business stakeholders and cross-functional teams to understand requirements and translate them into effective technical solutions.
- Lead and contribute to data warehouse migration projects from traditional platforms such as SQL Server, Oracle, Teradata, or other enterprise data warehouses to Google Cloud Platform (GCP) and BigQuery.
- Perform migration assessment, source-to-target mapping, data transformation, reconciliation, validation, and performance optimization to ensure successful migration to GCP.
- Ensure data quality, data validation, security, and governance standards across data engineering and reporting solutions.
- Optimize BigQuery query performance, data processing, and cost efficiency through partitioning, clustering, and query optimization.
- Provide technical guidance, mentorship, and code review support to team members while ensuring adherence to development best practices.
- Monitor and troubleshoot data pipelines, scheduled jobs, dashboards, and production issues, ensuring timely resolution and continuous improvement.
- Drive technical design discussions, solution architecture, development standards, and deployment activities in collaboration with project stakeholders.

📌 Google BigQuery & Looker Developer (Karnataka)
🏢 SWITS DIGITAL Private
📍 Karnataka