Senior Data Modeler

3 days ago

Hyderabad, Telangana, India Shell Infotech Full time

Role: Senior Data Modeller,

Exp: 6+ years,

Location: Hyderabad,

Mode: Hybrid,

Type: C2H(Contract to Hire),

Shift Timings: 2PM to 11:30 PM(Hybrid),

Interview Mode: Face to Face L1+L2 Same day VM Towers location. 11AM to 5PM .

Mandatory Skills:

Primary Skill: Data Analysis, Data Modelling, Database design, Dimension Modelling, Datawarehouse design, erwin ,SQL, NOSQL, Health Care Domain.

Secondary Skill: Data lake, Lakehouse design, Data Vault 2.0

Key Responsibilities:

  • Design and develop conceptual, logical, and physical data models meeting business requirements and strategic initiatives.
  • Collaborate with business stakeholders and data engineering teams to gather data requirements and translate them into robust, scalable data models.
  • Analyze and evaluate existing data models and databases to identify opportunities for optimization, standardization, and improvement.


• Define and enforce data modelling standards, naming conventions, and data governance policies to ensure data integrity, consistency, and quality.

  • Maintain comprehensive documentation including data models, data dictionaries, and metadata to support effective use and understanding of data assets.
  • Implement best practices for data modelling, including normalization, denormalization, indexing, partitioning, and optimization techniques.
  • Work closely with Data engineers to support the implementation and ongoing maintenance of data models within database systems.
  • Stay abreast of industry trends, emerging technologies, and best practices in data modelling, database design, and data management.

Must-have Skills:


• 6+ years of hands-on experience in data modelling, database design, and data architecture.

  • Demonstrated experience in building both normalized and denormalized data models.
  • Proficiency in data modelling tools such as erwin, ER/Studio, or PowerDesigner.
  • Strong SQL skills and experience working with relational databases
  • Experience with modern big data tools and platforms.
  • Experience with NoSQL databases such as Cosmos DB, MongoDB, or Cassandra including data modelling for semi-structured data
  • Familiarity with data warehouse design, ETL processes, and data integration strategies.
  • Understanding of Health Care Domain

Nice-to-have Skills:

  • Understanding of Data Lake and Lakehouse architecture principles
  • Expertise in advanced data modelling techniques for large-scale and high-performance data systems.
  • Exposure to cloud platforms like Azure, Databricks, or Fabric.
  • Understanding of Long-Term Care/Senior Care Domain

Note: Highlighted Skills are Mandatory.

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