Data Engineer (PySpark & Informatica BDM) (Bengaluru)

Description 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 up-to-date 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). - Positive 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. .