Description

You will lead complex technology initiatives within the Trade Surveillance Data Engineering team.

Responsibilities

• Design, code, test, debug, and document large-scale technology solutions for strategic business objectives.
• Develop ETL packages to move data from sources including flat files, ISO, Oracle, FTP, and NDM.
• Establish engineering standards and companywide best practices for complex technology disciplines.
• Formulate structured test plans and maintain thorough documentation for all systems.
• Review and analyze technical challenges requiring in-depth evaluation of multiple factors.

Required Skills

• 5+ years of experience with Python and Power BI.
• Proficiency in SQL Server and SSIS.
• Experience with PySpark for data processing.
• Working knowledge of AutoSys JI L commands or equivalent scheduling tools.
• Experience working within Agile methodologies using Jira.
• Ability to design and implement ETL processes.
• Bachelor's degree or equivalent graduate qualification.

Preferred Skills

• Trade Surveillance domain knowledge.
• Exposure to Gen AI tools.

Key Skills

Education

Any Graduate