Module Lead - Data Modeling

We are looking forward to hire Data Modeling Professionals in the following areas :

8-10 Years

As a Data Modeler, you will be responsible for working with key business representatives, data owners, end users, application designers, and data architects to model current and new data. Your typical day will involve utilizing your expertise in Data Modeling Techniques and Methodologies to design and implement data models that meet business requirements.
Roles Responsibilities:
Design and implement data models that meet business requirements using Data Modeling Techniques and Methodologies.
Collaborate with key business representatives, data owners, end users, application designers, and data architects to model current and new data.
Ensure data models are scalable, maintainable, and optimized for performance.
Develop and maintain data dictionaries, data flow diagrams, and other documentation related to data modeling.
Provide guidance and support to development teams on data modeling best practices and standards. Professional Technical Skills:
Must To Have Skills:Expertise in Data Modeling Techniques and Methodologies.
Strong understanding of database design principles and data normalization.
Experience with data modeling tools such as ERwin or ER/Studio.
Proficiency in SQL and experience with database management systems such as Oracle, SQL Server, or MySQL.
Experience with data warehousing and ETL processes.
Good To Have Skills:Familiarity with NoSQL databases such as MongoDB or Cassandra.
Experience with cloud-based data solutions such as AWS or Azure. Knowledge on MS Fabric, Azure Data Factory, Databricks
Knowledge of data governance and data quality best practices.
Experience with Agile development methodologies.
Excellent communication and collaboration skills. Additional Information:
The candidate should have a minimum of 6 years of experience in Data Modeling Techniques and Methodologies.
The ideal candidate will possess a strong educational background in computer science, information systems, or a related field, along with a proven track record of delivering impactful data-driven solutions.

Our Hyperlearning workplace is grounded upon four principles

• Flexible work arrangements, Free spirit, and emotional positivity
• Agile self-determination, trust, transparency, and open collaboration
• All Support needed for the realization of business goals,
• Stable employment with a great atmosphere and ethical corporate culture

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.