Job Description
• Strong banking/domain knowledge is valuable, but hands-on data analysis and modelling capability is the key discriminator.
• Demonstrable SQL proficiency for data profiling, reconciliation, investigation, and root-cause analysis.
• Able to translate business and data requirements into BRDs/FRDs, epics, capabilities, features, user stories and clear acceptance criteria.
• Strong conceptual and logical data modelling skills, including entities, relationships, and business definitions.
• Experience with source-to-target mapping and transformation rules across complex data landscapes. Desired Skills
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• Practical experience defining Data Quality rules, identifying exceptions, and driving remediation
• Strong understanding of data lineage and authoritative source identification.
• Evidence of working hands-on with Data Products, shaping the underlying data rather than primarily managing the backlog.
• Comfortable with backlog refinement, feature mapping, PI/Agile ceremonies, Definition of Ready/Done, testing and defect triage. Exposure to up-to-date data platforms such as Snowflake / Databricks / cloud data ecosystems is highly desirable

📌 Lead/ Senior Business Data Modeller Engineer_ Exp: 8+ Years (India)
🏢 Atyeti
📍 India