Required Skills

Data Modeling Mongo DB

Work Authorization

  • US Citizen

  • Green Card

  • EAD (OPT/CPT/GC/H4)

  • H1B Work Permit

Preferred Employment

  • Corp-Corp

  • W2-Permanent

  • W2-Contract

  • Contract to Hire

Employment Type

  • Consulting/Contract

education qualification

  • UG :- - Not Required

  • PG :- - Not Required

Other Information

  • No of position :- ( 1 )

  • Post :- 25th Aug 2025

JOB DETAIL

  • 10+ years of experience in data model design of OLTP and OLAP applications
  • Must have 2+ years of experience in data modeling of NoSQL databases like MongoDB, Neo4j, including creating design patterns for scalability & performance
  • Experience in schema design of hierarchical data, Entity relationships, embedded documents & collections
  • Strong analytical abilities to identify patterns, trends, and relationships within automotive data.
  • Experience in modeling relationships and references with document & graph dbs – for one to many and many-to-many etc.
  • Experience in working with business stakeholders and analysts to identify business requirements and align data model with business needs.
  • Familiarity with data modeling tools like Lucidchart, Draw.io, ERWIN.
  • Prior experience on automobile-related projects is an added advantage

Roles/Responsibilities:

  • Collaborating with business stakeholders and analysts to identify business requirements and data needs.
  • Need to work on data modeling for enterprise solutions from scratch.
  • Need to work on developing and maintaining data dictionaries and metadata repositories
  • Need to ensure data accuracy, completeness, and integrity across all data systems
  • Should work closely with database administrators and other IT professionals to implement and maintain data models.
  • Establish and enforce data modeling standards and best practices.
  • Conducting data profiling and analysis to gain insights into data quality and relationships.
  • Ensuring compliance with data governance policies and regulations pertaining to data modeling.
  • Being flexible to travel to customer locations for workshops based on customer needs

Company Information