Data Modeler

Job Title: Data Modeler

Location: Mumbai, Bhubaneshwar, Chennai, Bangalore, Hyderabad

Year of Experience- 10 to 15 years

Required skill set

• - Bachelor's/Master's degree in a relevant field (e.g. Computer Science, Software engineering, Data Science, AI/ML).
• 7+ years of experience Developing, deploying, and monitoring end to end data and analytics solutions with extensive knowledge of evaluation metrics and best practices.
• 7+ years Data Warehouse/Data Lake Architecture and Development.
• 5+ years Data Modeling & Architecture with experience in implementing at least one market leading banking and financial services data model i.e. from Oracle, Teradata, IBM
• Experience on data modelling tools such as Erwin, ER Studio, SQL modeler is preferred
• Experience in ETL/ELT, data Pipelines, Data Quality, blueprints development.
• Non-Relational Database experience (Document DB, Graph DB, etc.)
• Understanding of data structures, data modeling and data architecture
• Strong communication skills and ability to work with ambiguity.
• Able to provide direction/support to data modelling team members.
• Strong architectural knowledge for data analytics systems patterns and their pros and cons.
• Strong knowledge of data quality, metadata management, security frameworks / tools implemented for data on cloud architecture
• Skillful resource to understand customer needs and provide target solutions, which is scalable, reliable, and highly available.

Desired Competencies (Technical/Behavioral Competency)

Must-Have

Technical:

Data architecture framework design

ER, Dimensional & Data Vault modelling

Cloud-based data solution architecture experience

7+ yrs Data Warehouse/Data Lake architecture

5+ yrs Data modelling in BFS models (Oracle/Teradata/IBM)

Strong SDLC knowledge (Agile + Waterfall)

ETL/ELT, data pipelines, streaming, ingestion

Data security aligned to GDPR/CCPA

Metadata mgmt, data quality, data governance

Experience with data virtualization (e.g., Denodo)

Experience with non-relational DBs (Document DB, Graph DB)

Architecture patterns knowledge for analytics systems

Strong understanding of data structures & architecture

Behavioral:

Strong communication skills & comfort with ambiguity

Stakeholder engagement (incl. Clevel & partners)

Ability to mentor and lead modelling/architecture teams

Ability to translate requirements into data models

Agile leadership

Team collaboration

Problemsolving & analytical approach

Drive for results

High integrity & honesty

Communicate powerfully and prolifically