About the Role : The AML IT function sits within the BNP Paribas Corporate & Institutional Banking (CIB) CEFS - technology ecosystem and provides end-to-end technology platform that enables the bank's anti-money-laundering (AML) program.As a Senior Data Engineer you will design, build and operate high-performance, Python services that ingest, enrich, analyze and surface AML-relevant data.What you will do : - Develop & deliver production-grade Python micro-services, event-driven workers and APIs (FastAPI/Django/Flask, Celery, asyncio) that process millions of transactions per day with low latency.- Build data pipelines using PySpark, Apache Beam or similar frameworks; integrate with streaming platforms (Kafka, Pulsar) and batch ingestion layers.- Collaborate with data-science teams to package, serve and monitor ML models for anomaly detection, transaction clustering and network analysis.- Implement data-quality, lineage and privacy controls (GDPR/CCPA)



throughout ingestion-to-case-management flows.- Implement end to end data orchestration with proper data modeling.- Document architectural decisions, API contracts and data-flow diagrams to keep the AML platform aligned with the target-state design.Tech Stack & Requirements : - Expert-level knowledge on Python, async programming, libraries : FastAPI/Django/Flask, Celery, Pandas, NumPy, PySpark.- Experience in designing, developing and securing REST/GraphQL services; event-driven patterns (Kafka, Pulsar).- Experience in building/optimizing ETL/ELT pipelines; experience with Spark/Flink.- Robust knowledge on SQL (PostgreSQL, Oracle) and NoSQL/graph (Neo4j, JanusGraph) - modelling, indexing, performance tuning.Education : Bachelor Degree or equivalent.Experience : 5 - 7 years. (ref:hirist.tech)

📌 Senior Data Engineer (Python, SQL experience required) (Mumbai)
🏢 BNP Paribas India Solutions
📍 Mumbai