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Data Modeler

Data Modeler

SanofiHyderabad
30+ days ago
Job type
  • Full-time
Job description

Description

As part of the Digital M&S Foundations organization, the data modeler designs, implements, and documents data architecture and data modeling solutions, which include the use of relational and dimensional databases. These solutions support Manufacturing and Supply Data and Analytical products and other business interests.

The successful candidate will :

Be responsible for the development of the conceptual, logical, and physical data models in line with the architecture and platforms strategy Oversee and govern the expansion of existing data architecture and the optimization of data query performance via best practices. The candidate must be able to work independently and collaboratively with the M&S teams

Demonstrate a strong expertise in one of the following functional business areas of M&S : Manufacturing, Quality or Supply Chain

Responsibilities

  • Design and implement business data models in line with data foundations strategy and standards
  • Work with business and application / solution teams to understand requirements, build data flows, and develop conceptual / logical / physical data models
  • Define and govern data modeling and design standards, tools, best practices, and related development for enterprise data models.
  • Identify the architecture, infrastructure, and interfaces to data sources, tools supporting automated data loads, security concerns, and analytic models.
  • Hands-on data modeling, design, configuration, and performance tuning
  • Work proactively and independently to address project requirements and articulate issues / challenges to reduce project delivery risks.

Skills

  • Bachelor’s or master’s degree in computer / data engineer technical or related experience.
  • 5+ years of hands-on relational, dimensional, and / or analytic experience, including 3+ years of hands-on experience with data from core manufacturing and supply chain systems such as SAP, Quality Management, LIMS, MES, Planning
  • Experience hands-on programing in SQL
  • Experience with data warehouse (Snowflake), data lake (AWS based), and enterprise big data platforms in a pharmaceutical company.
  • Good knowledge of metadata management, data modeling, and related tools : Snowflake, Informatica, DBT
  • Experience with Agile
  • Good communication, and presentation skills
  • Pursue , discover

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