Data SME or Senior Data Engineer (Corporate Banking)

Work location- CBD Area, near Raffles place

1. 10+ years of experience in Data Engineering with exposure to the Corporate Banking domain.

1. Strong hands-on experience in Azure Databricks, data pipeline development, job/cluster management, and performance tuning.

1. Expertise in source-to-target data mapping, data warehouse design, data modelling, and ETL/ELT processes.

1. Strong proficiency in SQL and Python for data transformation, validation, and troubleshooting.

1. Experience across SDLC phases, including requirement analysis, design, development, testing, and deployment.

1. Working knowledge of FTP/SFTP, MQ, and API integrations, with exposure to Corporate Banking domains such as Trade Finance, Lending, and Payments.