Data Modeler - Banking and Financial Services

Genpact Ltd.; Kolkata, Bengaluru, Delhi; Hybrid; INR 900,000 - 1,500,000; Full time

Benefits offered by this job

Hybrid work model

Job summary

Genpact Ltd. in India invites applications for Data Modeler – Cash / Transaction Banking and Lending. The role supports data architecture across Pan India in a hybrid model with 2-3 days in the office.

You will design conceptual, logical and physical data models and translate business needs into governed data designs. Responsibilities include analyzing data structures across platforms, handling XML formats, writing SQL queries, and using Python for data analysis or automation.

Qualifications

• Strong data modelling skills across conceptual, logical and physical models.
• Experience with data architecture and enterprise data platforms.
• Banking domain knowledge preferred for Cash/Transaction Banking and Lending.

Responsibilities

• Design and maintain conceptual, logical and physical data models for Cash / Transaction Banking and Lending domains
• Analyse data structures across enterprise platforms and contribute to data architecture decisions
• Gather and analyse business and data requirements, translating them into data models
• Work with XML and other structured/semi-structured formats; define mappings between source and target data structures
• Use SQL to query, profile and analyse data to validate models and lineage
• Use Python to analyse data or automate data-related tasks (preferred)
• Document data models, data dictionaries and design artefacts with stakeholders

Skills

Data modelling

SQL

Python

Stakeholder management

Education

Graduate / Postgraduate

Tools

XML

Job description

Inviting applications for the role of Data Modeler - Cash / Transaction Banking and Lending (Pan India)

Our client is a leading bank seeking experienced Data Modelers across Pan India to support its data architecture and data modelling initiatives across Cash / Transaction Banking and Lending. The role involves designing and maintaining conceptual, logical and physical data models that reflect how data is structured and flows across enterprise data platforms, and translating business needs into well-governed data designs. The role follows a hybrid working model, with 2-3 days a week in the office.

Responsibilities

• Design and maintain conceptual, logical and physical data models for Cash / Transaction Banking and Lending domains
• Analyse how data is structured across enterprise data platforms and underlying data structures, and contribute to data architecture decisions
• Gather and analyse business and data requirements, and translate business needs into data models and designs
• Work with structured and semi-structured data formats such as XML, and define mappings between source and target data structures
• Use SQL to query, profile and analyse data to validate models and understand data lineage
• Use Python to analyse data, automate or accelerate data-related activities (preferred)
• Engage and collaborate with business and technology stakeholders; document data models, data dictionaries and design artefacts to agreed standards

Qualifications we seek in you!

Minimum Qualifications

• Any Graduate / Post Graduate

Preferred qualifications

• Strong experience as a Data Modeler, with proven conceptual, logical and physical data modelling skills (critical)
• Strong understanding of data architecture and how data is structured across platforms (critical)
• Good understanding of enterprise data platforms and underlying data structures
• Understanding of data formats such as XML and other structured / semi-structured data formats
• Banking domain knowledge of Cash / Transaction Banking and ideally Lending
• Business analysis skills - able to analyse data requirements and translate business needs into data models / designs
• Stakeholder management - comfortable working with business and technology stakeholders
• SQL - ability to query, analyse and work with data (value-add)
• Python - ability to use Python for analysis, automation or accelerating data-related activities (preferred / value-add)
• Strong oral and written communication skills - able to prepare the required documentation independently