Software Engineer

Role Overview

Essential Responsibilities

• Develop and maintain the AML Data Integration and Oversight product backlog.
• Write user stories and acceptance criteria in JIRA and prioritize work with the ADIO team.
• Lead technical development and support requirements gathering, solution design, testing, implementation, and validation.
• Lead data validation and testing across multiple sources and systems.
• Analyze source-to-target data and resolve issues in complex data pipelines with data engineers and analysts.
• Engage stakeholders through product demonstrations and feedback sessions.
• Manage production releases, validate changes, and partner with the Scrum Master to remove impediments.

Preferred Skills and Experience

• Experience in AML transaction monitoring, financial crimes, fraud, KYC, or payments is preferred.
• Preferred data skills include data mapping, validation, ETL development, testing, and analysis of large datasets.
• Preferred tools and technologies include Informatica, Spark, Actimize, SQL, Python, JIRA, and Agile tools.
• SAFe, CSPO, and PSPO certifications are preferred.

Shift

• Shift timing is 12:30 PM to 9:30 PM IST.

Posting Details

Requirements

• Experience in AML transaction monitoring, financial crimes, fraud, KYC, payments, or related domains is preferred.
• Knowledge of data mapping, validation, ETL development, testing, and analysis of large datasets is preferred.
• Hands-on experience supporting SDLC processes and agile delivery is preferred.
• Ability to manage product backlogs, prioritize work, and accept completed stories is preferred.
• Excellent communication skills for technical and non-technical audiences are preferred.
• Experience with data quality tools, ETL processes such as Informatica or Spark, and AML monitoring solutions such as Actimize is preferred.
• Proficiency in SQL, Python, and other analytics tools is preferred.
• Proficiency in writing detailed requirements and user stories in JIRA is preferred.
• Familiarity with Agile methodologies and tools is preferred.
• Understanding of regulatory expectations for data quality and controls is preferred.
• Industry certifications such as SAFe, CSPO, or PSPO are preferred.