:
Robust 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 transparent 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 -
Practical experience defining

Data Quality rules

, identifying exceptions, and driving remediation
Strong understanding of data lineage and authoritative source identification

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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 Pune (India)
🏢 Atyeti
📍 India