Data Engineer- Mulehunter.ai

Job Location
- Mumbai, Maharashtra (In office / Hybrid)

About Mulehunter.ai & Why This Role Matters

Mulehunter.ai is an advanced AI/ML-based system designed to detect mule accounts across the banking ecosystem. Reliable, well-structured data pipelines are the critical foundation on which our modeling, alerting, and reporting workflows operate.

In this role, you will design and execute robust data workflows to support advanced analytics and machine learning initiatives. Operating from our Mumbai office, you will collaborate closely with data scientists and business stakeholders to manage, transform, and operationalize large-scale financial and transactional datasets.

What You Will Work On
- Data pipelines and infrastructure for Mulehunter.ai, managing large-scale banking datasets built to power AI/ML fraud detection at scale.

What You Will Do
- Data Integration: Extract structured and unstructured data from diverse banking databases, ensuring secure, high-throughput, and efficient data flow into modeling pipelines.
- BRE Query Development:



Design and implement optimized SQL-based queries and logic for the Business Rule Engine (BRE) based on exploratory data analysis (EDA) insights.
- ML Collaboration: Partner tightly with the Data Science team to support complex data preparation, automated feature engineering, and live ML experiments.
- Pipeline Management: Build, maintain, schedule, and monitor production-grade ETL/ELT workflows to guarantee system reliability.
- Security & Compliance: Enforce data security protocol, strict access controls, and complete data auditability at every layer of the data pipeline.

What We Are Looking For
- Experience: 3-8 years of core experience in data engineering, preferably within the BFSI, financial crime, or AML/fraud domains.
- Core Technical Skills: Strong mastery of SQL, advanced data query optimization, and proficiency in Python for data manipulation (pandas, NumPy, etc.).
- Database Systems: Han

📌 Data Engineer (Mumbai)
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