Finance Solutions, Google Cloud Platform
Core
Design, build, and optimize scalable cloud-based Finance data solutions on Google Cloud Platform (GCP) to support reporting, forecasting, planning, and AI/ML initiatives.
Role type
Senior Data Engineer (Finance Data & BI)
Builds
Production-scale data pipelines, data warehouses, and analytics-ready assets for the Finance ecosystem
Domain
Healthcare / Finance / Cloud Data Engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Data engineering, Google Cloud Platform (GCP), Python, Java, C#, SQL, Spark, ETL/ELT, Data warehousing, CI/CD, Data governance, SOX compliance
Preferred skills
PySpark, Matillion, Financial data concepts (GL, Chart of Accounts), Oracle JD Edwards
Technologies
Google Cloud Platform (GCP), Python, Java, C#, SQL, Spark, GitHub Actions, Matillion, Oracle JD Edwards
Responsibilities
Design and reengineer data architectures and relational databases; Develop and maintain robust ETL/ELT pipelines; Implement automated data quality checks and validation processes; Partner with Finance and BI teams to translate business requirements into technical solutions; Optimize data models for performance and cost efficiency; Contribute to CI/CD deployment workflows
Seniority
Senior, hands-on IC
