| Need Senior GCP Data Engineer (ML Fraud Analytics Data Platform) for the location Austin TX (100% Onsite) at Austin, Texas, USA |
| Email: [email protected] |
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http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=3657111&uid=4d8b8c0172564a94946a068e47142eef From: Deepak, arkhyatech [email protected] Reply to: [email protected] Hi, Hope you are doing Good. Role: Senior GCP Data Engineer (ML & Fraud Analytics Data Platform) Location: Austin TX (100% Onsite) This is a Contract to Hire role, so candidates must be ready for C2H within 2-3 months 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 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. Best Regards, S. Deepak Keywords: continuous integration continuous deployment machine learning information technology Texas Need Senior GCP Data Engineer (ML & Fraud Analytics Data Platform) for the location Austin TX (100% Onsite) [email protected] http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=3657111&uid=4d8b8c0172564a94946a068e47142eef |
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| 05:02 AM 03-Sep-26 |