Role : Data Architect / Data Modeler Data Integration (DIH)

Overview :

We are looking for a highly capable Data Analyst / Data Modeler contractor to support a major enterprise data transformation programme, the Data Integration Hub (DIH).

This role sits within a high-performing Data Architecture & Engineering function and will play a key part in delivering clean, reconciled, and business-ready data into our analytical platforms.

You will work at the heart of the programme, bridging business requirements, data modelling, and engineering delivery.

Experience Range : 5- 9 Years

Location : Bangalore(preferred)/ Pan India

Key Responsibilities :

- Analyse complex datasets to understand structures, relationships, and data quality issues

- Define source-to-target mappings and detailed transformation logic

- Develop and maintain conceptual, logical, and physical data models

- Translate requirements into clear pseudo-logic and implementation-ready specifications

- Perform data reconciliation and variance analysis between legacy and new platforms

- Identify and resolve data issues through structured root cause analysis

- Support testing and validation activities during key delivery and go-live phases

- Work closely with Data Engineers, Architects, and business stakeholders to ensure delivery of high-quality data

Skills & Experience :

- Strong experience in data modelling (conceptual, logical, physical)

- Proven capability in data analysis and source-to-target mapping

- Advanced SQL skills for profiling, validation, and complex queries

- Experience defining transformation logic / pseudo-code for data pipelines

- Good understanding of data warehousing and ETL/ELT processes

- Strong problem-solving and data debugging skills

- Experience working in complex, multi-system data environments

- Knowledge of PySpark, SparkSQL advantageous to the role

What Were Looking For :

- A hands-on, detail-oriented data specialist who thrives in complex environments

- Someone who can bridge business and engineering with clarity and structure

- Strong communicator, comfortable working with distributed teams within Data Architecture & Engineering function and across external functions

- Experience in data reconciliation, quality, and governance-driven programmes is highly desirable