Senior Data Modeler

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:

Secondary Skill:

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.