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Commercial Data Manager

Location: Gurugram, India

Job Responsibilities

  • Design, develop, implement, and maintain a data warehouse to collate and integrate data from various sources and systems within the organization
  • Develop the data model and conduct data profiling with the objective of delivering high-quality data sets.
  • Provide technical documentations for knowledge transformation, technical training, coaching for project stakeholders
  • Interact with SMEs (business) and architects to validate whether the data model is aligned with the technology suggested for the project
  • Define the data dictionary/ business glossary based on the model developed, if required
  • Recommend opportunities for reuse of data models in new environments
  • Managing and designing the reporting environment, including data sources, security, and meta-data.
  • Follow best practices for standard naming conventions and coding practices to ensure consistency of data models
  • Responsible for creating complex stored procedures, views, data aggregation/manipulation through table joins/queries, database design, normalization, and de-normalization techniques
  • Designing dashboards using any visualization platform is required
  • Analyzing and translating business needs into long-term solution data models
  • Validate the conceptual model with Manager, SMEs, etc

Key Skills

  •  At least 9+ years of Data Modeling experience working in large databases
  • TECH/MCA degree preferably in Information Technology, Computer Science from any recognized University
  • Hands-on experience in analyzing the query plans and make changes to improve the performance accordingly
  • Should be technically strong in relational databases and able to provide design approaches
  • Hands-on experience in Loading database tables based on external files
  • Expertise in SQL server is preferred
  • Exposure to Snowflake or Alteryx would be an added advantage.
  • Expertise on Database designing / data modelling / performance tuning
  • The candidate must be able to work independently collaboratively
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