Data Modeler

Senior Data Expert.

Location: Pune, Maharashtra.

Hybrid Mode to Office(Pune Locati on)

Strong Data Analysis and/or Data Modeling experience of 8-12 years.

Strong financial domain and data analysis skills with experience covering activities like requirement gathering, elicitation skills, gap analysis, data analysis, effort estimation, reviews, ability to translate the high-level functional data or business requirements into technical solution, database designing and data mapping.

Comprehensive understanding of the Data Modeling (conceptual, logical, and physical), create and deliver high-quality data models, by following agreed data governance and standards.

Maintain quality metadata and data related artefacts which should be accurate, complete, consistent, unambiguous, reliable, accessible, traceable, and valid.

Should be an individual contributor with good understanding of the SDLC & Agile methodologies.

A team player with self-starter approach, having a sense of ownership, should be a problem solver with solution-seeking approach and an ability to work in fast-paced and continuously changing environment.

Excellent communication & stakeholder management skills and should be capable of building rapport and relationships.

Act as a liaison between business and technical teams to bridge any gaps and assist the business teams & technical teams to successfully deliver the projects.

Other Skills & Tools: SQL, MS-Office tools, GCP Big Query, Erwin, Visual Paradigm (preferable)

Mandatory Must have Skills for Senior Data Expert positions (10):

1. Data Modeling (Conceptual, Logical and Physical)

2. Forward and reverse engineering (Data Modelling)

3. Relational and dimensional modelling

4. Erwin / Visual Paradigm

5. Cloud exposure (Azure, GCP, Databricks or AWS)

6. Data quality, ingestion and integration (ETL)

7. No PowerBI profiles here please.

8. Data Analysis (SQL scripting)

9. Requirement Gathering and creating insights

10. Data catalog, lineage and security

11. Data Mapping & Database Design

12. Metadata Management

13. Data Governance Standards