Description

Required Skills

5+ years of experience in Data Engineering and Data Architecture.

Strong experience with Python.

Expertise in Data Architecture & Data Modeling.

Experience with Data Warehousing, Data Lakes, and Lakehouse architectures.

Strong knowledge of Cloud Computing (AWS, Azure, or GCP).

Experience designing scalable batch and real-time data pipelines.

Knowledge of data governance, data quality, security, and data lineage.

Experience in Fraud, Risk, AML, KYC, Transaction Monitoring, or Risk Analytics.

Strong stakeholder communication and architecture leadership skills

Key Skills

Education

Bachelor's degree