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a) Mandatory Skills
. 10+ years of strong expertise in conceptual, logical, and physical data modelling
. Experience with enterprise data models (e.g., BCDM) and subject area alignment
. Ability to define source-to-target mappings and transformation rules
. Proficiency with ER modelling tools (e.g., ERwin or equivalent)
. Strong understanding of data governance, metadata, and lineage
. Experience working with structured and semi-structured data
. Familiarity with Databricks Lakehouse concepts and data architecture
. Strong banking domain experience (Corporate Banking preferred)
. Ability to translate business requirements into data models
. Experience working in Agile, cross-functional teams
. Great interpersonal and communication skills
. Can work independently with minimum supervision
. Flexible and adaptable working style to work with multiple stakeholders
. Open to work in UK Shift (10 AM to 9 PM IST with 8 hours of productive work)
b) Good to Have Skills
. Exposure to Snowflake / hybrid data platforms
. Experience with data catalog tools
. Knowledge of financial data standards (e.g., ISO20022)
. Experience in regulatory programs (IFC, FSCS, etc.)
. Basic knowledge of SQL / data engineering workflows
. Experience in data product-based delivery models
Perks and Benefits for Irisians
Iris provides world-class benefits for a personalized employee experience. These benefits are designed to support financial, health and well-being needs of Irisians for a holistic professional and personal growth. Click to view the benefits.
Job ID: 152572365
Skills:
Data Lineage, Data Modelling, Data Architecture, Data Governance, SQL data engineering workflows, Databricks Lakehouse concepts, financial data standards, Snowflake hybrid data platforms, data product-based delivery models, ER modelling tools, source-to-target mappings, data catalog tools, structured data, banking domain experience, Agile cross-functional teams, semi-structured data, regulatory programs, metadata, enterprise data models