Role: Senior GCP Data Engineer (ML & Fraud Analytics Data Platform)
Location: Austin TX (100% Onsite)
Mode: C2H
Experience: 10+ Years
Cloud Platform: GCP
Skills Required: GCP, BigQuery, Python, Dataflow, Composer/Airflow, Google Cloud Storage (GCS)
Key Responsibilities & Skills
- 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 modeling, 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.
Looking forward to work with you !!
Best Regards
Edward | Manager – Talent Acquisition
United IT Solutions Inc | Email: edward@uniteditinc.com
www.uniteditinc.com | 1212 Corporate Dr, Suite 555, Irving, TX – 75038
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