Prointegrate World It Consulting
data modelling-Tech lead
Skills
1 month ago
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Important information
Contract type:
Permanent
Location:
Bengaluru, Karnataka, India
Work mode:
Hybrid
Published on:
7 September 2026
What they need
Job Title: Tech Lead - Data Modeler
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.
Regards,
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