Data Modeler

1 day ago

Bengaluru Karnataka India, Karnataka Tredence Inc. Full time

About the Company: Tredence focuses on last-mile delivery of powerful insights into profitable actions by uniting its strengths in business analytics, data science and software engineering. The largest companies across industries are engaging with us and deploying their prediction and optimization solutions at scale. Head quartered in the San Francisco Bay Area, we serve clients in the US, Canada, Europe, and South East Asia. We are seeking an experienced data scientist who apart from the required mathematical and statistical expertise also possesses the natural curiosity and creative mind to ask questions, connect the dots, and uncover opportunities that lie hidden with the ultimate goal of realizing the data’s full potential.


Data Modeler

Exp- 6 to 14 years

Location- Bengaluru, Chennai, Pune, Gurugram, Kolkata, Hyderabad



About the Role


Solution Architect for Data modelling – Understanding of Enterprise datasets – Sales, Procurement, Finance, Supply Chain, Logistics, R&D, Advanced Planning systems (SAP/Oracle etc); Have worked for minimum 5 years for Data projects ( Upgradation, Migration, Building Data lake foundation, Maintenance etc)



Responsibilities


  • Collaborate with the product/business teams, understand related business processes and document business requirements and then write high level specifications/requirements for DEs
  • Develop logical/physical data models as per Medallion architecture/EDW/Kimball model
  • Scout for right grain of data either in True source systems or in Data WHs and build reusable data models in intermediary layers before creating physical consumable views from data mart
  • Understand Cloud architecture, solution components in Cloud, DevOps, DataOps
  • Data Governance, Data Quality frameworks, Data Observality



Qualifications

Minimum 6 years of experience in Data projects and IT.



Required Skills



  • Familiar with DevOps process
  • Knowing how to check existing tables, data dictionary, table structures
  • Experienced with normalizing tables
  • Having good understanding of Landing, Bronze, Silver and Gold layers and concepts
  • Familiar with Agile techniques




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