Own BigQuery-backed datasets and pipelines used for reporting, reconciliation, and external data delivery
Design data models and access patterns that support accurate, auditable representation of credit assets
Optimize BigQuery performance, cost, and reliability using partitioning, clustering, and query tuning
Build and operate real-time and near-real-time pipelines using Pub/Sub, batch or streaming frameworks, and Java services
Leverage Dataproc for large-scale data processing and synchronization across BigQuery tables
Build Java-based backend services and RESTful APIs supporting credit and asset externalization workflows
Ensure strong observability, data quality controls, and operational readiness across services and data workflows
Partner with product, finance, risk, compliance, and engineering teams to deliver secure and compliant solutions
Influence platform architecture and best practices through design reviews and technical leadership

Requirements

6+ years of professional experience as a software engineer building production systems
4+ years of hands-on experience on Google Cloud Platform, particularly BigQuery, Dataproc, Pub/Sub, Cloud Run, and Cloud Functions
Deep expertise in BigQuery internals, including Query execution plans and performance tuning
Table partitioning and clustering strategies
Experience designing and operating real-time and near-real-time data pipelines
Proficiency in Java, including designing and building RESTful APIs using Spring Boot or similar frameworks
Strong experience with logging, monitoring, and observability, including dashboards, alerting, and production troubleshooting
Proficiency with IAM, service accounts, and data access controls
Ability to design scalable, reliable systems with a strong focus on correctness, performance, and operational excellence
Strong communication skills and the ability to collaborate across engineering and cross-functional teams

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

BigQueryDataprocPub/SubJavaRESTful APIsSpring Boottable partitioningclusteringperformance tuningdata pipelines

Soft Skills

communication skillscollaborationtechnical leadershipoperational excellence