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YASH Technologies is seeking a Module Lead - Data Modeling in Hyderabad/Indore/Pune to design and implement scalable data models that meet business needs. You will collaborate with data owners, end users, and architects to model current and new data, ensuring performance and maintainability.
The role requires 8–10 years of experience in data modeling, strong SQL skills, and experience with data warehousing and ETL. Familiarity with ERwin/ER/Studio and cloud data tools is a plus.
Module Lead - Data Modeling Job
Date: Oct 4, 2026
Job Requisition Id: 66207
Location: Hyderabad, TG, IN Indore, MP, IN Pune, MH, IN
YASH Technologies is a leading technology integrator specializing in helping clients reimagine operating models, enhance competitiveness, optimize costs, foster exceptional stakeholder experiences, and drive business transformation.
At YASH, we’re a cluster of the brightest stars working with cutting-edge technologies. Our purpose is anchored in a single truth – bringing real positive changes in an increasingly virtual world and it drives us beyond generational gaps and disruptions of the future.
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.
Must To Have Skills:
Good To Have Skills:
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.
At YASH, you are empowered to create a career that will take you to where you want to go while working in an inclusive team environment. We leverage career-oriented skilling models and optimize our collective intelligence aided with technology for continuous learning, unlearning, and relearning at a rapid pace and scale.