Looker BI Engineer – GCP / BigQuery

Role

Looker BI Engineer – GCP / BigQuery

Location

Richardson, TX 75082 (Hybrid)

Duration

long term contract

Technical Hiring Criteria (Must Haves)

Top 3 Required skills

LookML, Looker Studio, BigQuery, Data analytics & Visualization

• Years of experience in each of the must-have skills:

8 years in business analysis, requirements gathering, data analysis, Data governance, Data Quality, Data lineage, regulatory reporting, client BI reporting, ETL, Data Warehousing, Business Intelligence, Cloud Platforms.

Any additional information you would like to share about the project specs/nature of work:

Data Engineering & Reporting Developer (GCP)

• Design, develop, and maintain scalable data pipelines on Google Cloud Platform (GCP) to support analytics, reporting, and business operations.
• Build and manage data ingestion frameworks for integrating structured and unstructured data from multiple enterprise sources.
• Implement data quality controls, validation rules, and monitoring processes to ensure data accuracy, completeness, and reliability.
• Develop and optimize data transformation workflows using BigQuery and modern cloud data engineering practices.
• Drive BigQuery cost and performance optimization through query tuning, partitioning, clustering, and workload management.
• Design, develop, and optimize Looker (mandatory skill) dashboards and reports, transforming complex data into actionable insights, KPI visibility, and executive-ready analytics for business stakeholders
• Create effective data visualizations and analytics solutions that enable operational and executive decision-making.
• Monitor and optimize dashboard performance, ensuring scalability, responsiveness, and a seamless user experience.
• Demonstrate strong client communication skills, providing proactive status updates, risk identification, and timely escalation management without requiring follow-ups.
• Provide bi-weekly production release support, including deployment coordination, release validation, and stakeholder communication.
• Perform post-deployment metrics monitoring, participate in incident triage, root cause analysis, and issue resolution while driving continuous improvement and operational excellence.