Exponentia.ai - Data Modeller

Exponentia.ai

Mumbai

On-site

INR 1,500,000 - 2,800,000

Full time

14 days+

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Job summary

Exponentia.ai in Mumbai is seeking an experienced Data Modeller with 5-7 years of hands-on experience in designing and optimizing data models for analytics, reporting, and regulatory needs in the pharmaceutical domain.

You will build scalable conceptual, logical, and physical data models, collaborate with business and analytics teams, and ensure data quality and regulatory compliance across large datasets and data warehouses.

Qualifications

  • Design and develop conceptual, logical, and physical data models.
  • Collaborate with business and analytics teams to understand data requirements.
  • Build and optimize data models for large-scale datasets and reporting systems.
  • Ensure data consistency, quality, and compliance with pharma regulatory standards.

Responsibilities

  • Design and develop conceptual, logical, and physical data models.
  • Collaborate with business and analytics teams to understand data requirements.
  • Build and optimize data models for large-scale datasets and reporting systems.
  • Ensure data consistency, quality, and compliance with pharma regulatory standards.
  • Work on data integration, ETL processes, and data warehousing solutions.
  • Support data governance, metadata management, and documentation.

Skills

SQL
Data modeling
ETL
Data governance
Stakeholder communication

Education

Bachelor's degree in a relevant field

Tools

ERwin
ER Studio
SQL Server

Job description

About Exponentia.ai

Exponentia.ai is a fast-growing AI-first technology services company, partnering with enterprises to shape and accelerate their journey to AI maturity. With a presence across the US, UK, UAE, India, and Singapore, we bring together deep domain knowledge, cloud-scale engineering, and cutting-edge artificial intelligence to help our clients transform into agile, insight-driven organizations.

Awards & Recognitions
  • Innovation Partner of the Year - Databricks, 2024
  • Digital Impact Award, UK - 2024 (TMT Sector)
  • Rising Star - APJ Databricks Partner Awards 2023
  • Qliks Most Enabled Partner - APAC
About The Role

We are looking for an experienced Data Modeller with 5-7 years of expertise in designing and optimizing data models, preferably within the pharmaceutical or life sciences domain. The candidate will be responsible for building scalable, high-performance data models to support analytics, reporting, and regulatory requirements while ensuring data quality and integrity.

Key Responsibilities
  • Design and develop conceptual, logical, and physical data models
  • Collaborate with business and analytics teams to understand data requirements
  • Build and optimize data models for large-scale datasets and reporting systems
  • Ensure data consistency, quality, and compliance with pharma regulatory standards
  • Work on data integration, ETL processes, and data warehousing solutions
  • Support data governance, metadata management, and documentation
Preferred Skills
  • Strong expertise in data modeling tools (ERwin, ER Studio, or similar)
  • Proficiency in SQL and data warehousing concepts
  • Experience in pharma domain (clinical data, R&D, supply chain, or regulatory data)
  • Knowledge of ETL tools and data integration frameworks
  • Understanding of data governance and compliance standards (e.g., GxP is a plus)
  • Strong analytical, problem-solving, and stakeholder communication skills
Why Join Exponentia.ai?
  • Innovate with Purpose : Opportunity to create pioneering AI solutions in partnership with leading cloud and data platforms
  • Shape the Practice : Build a marquee capability from the ground up with full ownership
  • Work with the Best : Collaborate with top-tier talent and learn from industry leaders in AI
  • Global Exposure : Be part of a high-growth firm operating across US, UK, UAE, India, and Singapore
  • Continuous Growth : Access to certifications, tech events, and partner-led innovation labs
  • Inclusive Culture : A supportive and diverse workplace that values learning, initiative, and ownership.
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