Hi Hope this message finds you well. Role: Google BigQuery / Looker Developer

Experience:
5
- 8 Years Locations: Hyderabad, Bangalore, Pune Emp Type: Contract Interview Mode: L1 or L2 (after 7.00pm) F2F mandatory

Job Description
1. Strong hands-on experience in Google BigQuery, advanced SQL, and enterprise data warehousing. 2. Proficiency in Looker and LookML development, including dashboards, data modelling, Explores, and reporting. 3. Advanced knowledge of Python programming for data processing, automation, and integration. 4. Hands-on experience with Google Dataflow and ETL/ELT pipeline development. 5. Practical experience in data warehouse migration projects to GCP/BigQuery, including migration planning, data conversion, validation, and reconciliation. 6. Solid understanding of data modelling, dimensional modelling, data integration, and data warehouse architecture. 7. Experience in query optimization, performance tuning, data quality, cloud data security, technical leadership, and stakeholder management. Good-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:
1. Lead the design, development, and implementation of scalable data solutions using Google BigQuery, SQL, Python, and Google Dataflow. 2. Design and develop data warehouse models,



complex SQL queries, views, stored procedures, and optimized data transformation processes. 3. Develop and maintain ETL/ELT pipelines, including data ingestion, transformation, integration, and incremental data loading. 4. Develop and maintain Looker dashboards, reports, LookML models, Explores, dimensions, and measures for business reporting and analytics. 5. Collaborate with business stakeholders and cross-functional teams to understand requirements and translate them into effective technical solutions. 6. 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. 7. Perform migration assessment, source-to-target mapping, data transformation, reconciliation, validation, and performance optimization to ensure successful migration to GCP. 8. Ensure data quality, data validation, security, and governance standards across data engineering and reporting solutions. 9. Optimize BigQuery query performance, data processing, and cost efficiency through partitioning, clustering, and query optimization. 10. Provide technical guidance, mentorship, and code review support to team members while ensuring adherence to development best practices. 11. Monitor and troubleshoot data pipelines, scheduled jobs, dashboards, and production issues, ensuring timely resolution and continuous improvement. 12. Drive technical design discussions, solution architecture, development standards, and deployment activities in collaboration with project stakeholders.

📌 Looker Developer (Hyderabad)
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📍 Hyderabad