Data Modeler

The role requires you to design and implement data modeling solutions using relational, dimensional, and NoSQL databases. You will work closely with data architects to design bespoke databases using a mixture of conceptual, physical, and logical data models. As a Data Modeler at Tredence, you will be responsible for designing, implementing, and documenting data architecture and data modeling solutions that support enterprise information management, business intelligence, machine learning, data science, and other business interests. You should have 9-13 years of hands-on experience in relational, dimensional, and/or analytic data modeling using RDBMS, dimensional, NoSQL data platform technologies, ETL, and data ingestion protocols. Your responsibilities will include developing conceptual, logical, and physical data models, implementing RDBMS, operational data store (ODS), data marts, and data lakes on target platforms, and overseeing the expansion of existing data architecture. You will also work with business and application/solution teams to implement data strategies, build data flows, develop conceptual/logical/physical data models, and define data modeling and design standards. The ideal candidate should have a good knowledge of metadata management, data modeling, and related tools like Erwin or ER Studio, experience in team management, communication, and presentation, and the ability to work independently to address project requirements. Hands-on experience in modeling, design, configuration, installation, performance tuning, and sandbox POC is also required. This is a permanent full-time position with Tredence and is a hybrid role based in Bangalore, Chennai, Gurgaon, Pune, or Kolkata. The interview process consists of 3 rounds of 30-45 minutes video-based Teams interviews. If you have a BE/B.Tech or equivalent qualification and meet the required skills in Data Modeling, Dimensional modeling, ErWIN, Data Management, RDBMS, SQL/NoSQL, and ETL, we encourage you to apply for this challenging and rewarding opportunity.,