Required Skills: GCP, BigQuery, Python, Dataflow, Composer/Airflow, GCS, SQL
Key Responsibilities:
Design and maintain scalable ETL/data pipelines using Python, Dataflow, BigQuery, GCS, Composer/Airflow, and Control-M.
Build ML-ready datasets, feature engineering pipelines, and reusable data assets for fraud analytics and ML.
Develop secure, reliable, resilient, and high-performance Python/SQL solutions.
Strong experience with BigQuery/PostgreSQL, data modeling, and large-scale data processing.
Implement data quality, reconciliation, lineage, metadata, governance, and monitoring.
Support CI/CD, automated deployments, and integrations with Dataiku, Neo4j, REST APIs, and cloud services.
Collaborate with Data Scientists and ML Engineers on feature availability, orchestration, testing, and ML operationalization.
Exposure to MLOps and GenAI is a plus.

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Senior GCP Data Engineer – ML & Fraud Analytics Data Platform

Arkhya Tech. Inc.