This role involves developing and optimizing data solutions using PySpark and Informatica BDM while collaborating with various teams on Risk & Compliance platforms.
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.
- 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.
- Experience in Trade Finance or transformation programs.
- Exposure to AI-assisted development tools.
- Ability to work in agile environments and manage multiple priorities.
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