Job Summary

This hybrid role combines data engineering and data architecture responsibilities to design build and optimize scalable data solutions on GCP using Looker for analytics. The role focuses on billing and revenue management and bill inquiry handling ensuring reliable data flows that empower transparent billing insights accurate reporting and improved customer experience for global operations.

Responsibilities

- Design end to end data architectures on GCP that support complex billing and revenue management workflows while ensuring scalability performance and operational resilience for enterprise environments
- Develop robust data pipelines and integration processes that ingest transform and consolidate billing and bill inquiry data from diverse transactional systems into curated data layers
- Optimize data models and storage strategies to ensure high performing query execution in Looker with particular focus on billing metrics revenue recognition trends and customer inquiry patterns
- Implement advanced Looker semantic modeling by defining explores views and reusable components that provide trusted governed analytics for billing operations and finance stakeholders
- Establish data quality frameworks and validation checks that proactively detect anomalies in invoicing revenue postings and inquiry records thereby reducing downstream disputes and rework
- Collaborate with billing operations finance and customer service teams to translate domain requirements in billing and revenue management into technically sound GCP and Looker based data solutions




- Create reusable patterns and standards for data ingestion transformation and aggregation on GCP that streamline future enhancements across billing related platforms and analytical products
- Apply strong expertise in bill inquiry handling data to design subject area models that enable root cause analysis of issues cycle time tracking and continuous improvement of customer billing experiences
- Define and implement security and access control strategies within GCP data assets and Looker content to safeguard sensitive billing information while supporting appropriate self service analytics
- Document data architectures pipelines data dictionaries and Looker dashboards in clear form so that engineering peers and business users can maintain extend and correctly interpret billing data assets
- Monitor data workloads in production environments and fine tune performance resource utilization and cost efficiency across GCP services ensuring reliable day shift operations with hybrid working flexibility
- Drive continuous improvement by evaluating emerging GCP data capabilities and Looker features and proposing pragmatic adoption paths that align with billing and revenue management roadmap priorities

Qualifications





- Demonstrate more than ten years of experience in data engineering or data architecture with proven responsibility for designing and operating large scale cloud based data platforms
- Exhibit advanced hands on proficiency in core GCP data services including storage processing and orchestration components relevant to building resilient analytic solutions
- Show deep practical experience in Looker covering data modeling content development performance tuning and deployment of governed dashboards and reports for business stakeholders
- Bring strong domain expertise in billing and revenue management encompassing rating invoicing revenue allocation and reconciliation of complex product and service portfolios
- Apply detailed knowledge of bill inquiry handling processes and data including ticket flows resolution paths and adjustment rules to create analytics that reduce inquiry volume and improve response quality
- Utilize solid skills in SQL and data modeling to design normalized and dimensional structures that accurately represent billing events account hierarchies and revenue flows for analytical consumption
- Demonstrate familiarity with data governance and metadata management practices to support cataloging lineage and stewardship of critical billing and revenue information across the organization

Certifications Required Google Qualified Data Engineer certification or equivalent GCP data certification preferred along with training related to Looker analytics

📌 Python + Graph DB (Chennai)
🏢 Cognizant
📍 Chennai