We are seeking a skilled Data Engineer with strong expertise in PySpark and Informatica BDM to support Risk & Compliance platforms as part of a large-scale Trade Transformation program. The role involves working closely with the Data Engineering team and Data Lead to assess platform impacts, deliver scalable solutions, and ensure high-quality data engineering outcomes.

Key Responsibilities:

• Collaborate with the Data Engineering team to analyze and assess impacts on Risk & Compliance platforms resulting from transformation initiatives.
• Translate business and impact assessments into actionable data engineering and development tasks.
• Design, develop, and implement robust data solutions aligned with enterprise architecture and standards.
• Develop and optimize data pipelines using PySpark and Informatica BDM.
• Ensure timely delivery of development tasks while maintaining high quality and adherence to SLAs.
• Work closely with cross-functional teams including business, risk, and compliance stakeholders.
• Leverage modern tools and technologies, including AI-assisted development tools (e.g., Claude), to enhance productivity and efficiency.
• Participate in code reviews, testing, and deployment activities.

Required Skills:

• Strong hands-on experience in PySpark and big data processing.
• Expertise in Informatica Big Data Management (BDM).
• Good understanding of data engineering concepts, ETL/ELT processes, and data pipelines.
• Experience working in banking, financial services, or Risk & Compliance domains.
• Strong SQL and data modeling skills.
• Familiarity with distributed data processing frameworks and cloud environments is a plus.
• Excellent problem-solving and analytical skills.

Preferred Qualifications:

• Experience in Trade Finance or transformation programs.
• Exposure to AI-assisted development tools.
• Ability to work in agile environments and manage multiple priorities.