Data Engineer

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.

Preferred Skills

• GCP (BigQuery, Cloud Storage, Dataflow)
• Looker, BI Reporting & Data Visualization
• SQL, Python, ETL/ELT Development
• Contact Center domain understanding
• Experience supporting Contact Center Analytics, Customer Experience (CX), or Enterprise Reporting platforms.
• Release Management, Production Support
• Agile Delivery and Cross-Functional Collaboration