Design, develop, and maintain scalable ETL/data pipelines on GCP using Python, Dataflow, BigQuery, Cloud Storage, Composer/Airflow, and Control-M to support fraud analytics, ML, and enterprise data initiatives.
Build and optimize ML-ready datasets, feature engineering pipelines, and reusable data assets for model training, validation, and production deployment.
Develop high-quality Python solutions following coding standards, security best practices, resiliency, reliability, and performance optimization principles.
Strong expertise in SQL, BigQuery/PostgreSQL, data modelling, database concepts, and large-scale data processing.
Implement data quality, reconciliation, lineage, metadata management, governance, and monitoring controls to ensure trusted and auditable data pipelines.
Design and support CI/CD-enabled data engineering platforms, automated deployments, and integration with enterprise data ecosystems including Dataiku, Neo4j, REST APIs, and cloud-native services.
Collaborate with Data Scientists and ML Engineers to support feature availability, data access, pipeline orchestration, integration testing, and ML operationalization.
Strong analytical, problem-solving, and troubleshooting skills; exposure to GenAI use cases and MLOps ecosystems is a plus.
Preferred Experience
Overall 10+ years of experience
5+ years on GCP Data Engineering
5+ years with Python/Dataflow-based ETL development
3+ years with Composer/Airflow, BigQuery/PostgreSQL, and Google Cloud Storage
Experience supporting fraud detection, risk analytics, or ML data platforms preferred.
Numbers & Facts
Location
Alexandria, VA
Skills
Analysis Skillsunmatched
Application Programming Interface (API)unmatched
Best Practicesunmatched
Cloud Computingunmatched
Cloud Storageunmatched
Coding Standardsunmatched
Continuous Deployment/Deliveryunmatched
Continuous Integrationunmatched
Data Managementunmatched
Data Modelingunmatched
Data Processingunmatched
Data Qualityunmatched
Data Scienceunmatched
Database Extract Transform and Load (ETL)unmatched
Database Technologyunmatched
Ecosystemsunmatched
Enterprise Data Integrationunmatched
GCP (Good Clinical Practices)unmatched
Identify Issuesunmatched
Integration Testingunmatched
Metadataunmatched
Model Validationunmatched
Neo4junmatched
Performance Tuning/Optimizationunmatched
PostgreSQLunmatched
Problem Solving Skillsunmatched
Python Programming/Scripting Languageunmatched
REST (Representational State Transfer)unmatched
Reconciliationunmatched
Risk Analysisunmatched
SQL (Structured Query Language)unmatched
Scalable System Developmentunmatched
Training Data Setsunmatched
Use Casesunmatched
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