Data Modeler

Job description

Project Role : Data Modeler Project Role Description : Work with key business representatives, data owners, end users, application designers and data architects to model current and new data. Must have skills : Data Modeling Techniques and Methodologies Good to have skills : Big Query, SQL Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary: As a Data Modeler, a typical day involves engaging closely with various stakeholders including business representatives, data owners, end users, application designers, and data architects. The role focuses on understanding the data requirements and intricacies of current systems while designing and refining data models that support both existing and emerging business needs. This position requires continuous collaboration to ensure that data structures are aligned with organizational goals and that new data models are effectively integrated into the broader data environment. The role demands a proactive approach to identifying opportunities for data optimization and ensuring seamless communication across teams to facilitate successful data management initiatives. Roles & Responsibilities: - Expected to be an SME, collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Provide solutions to problems for their immediate team and across multiple teams. - Lead efforts to align data modeling strategies with business objectives and technical requirements. - Facilitate knowledge sharing and mentoring within the team to enhance overall data modeling capabilities. - Coordinate with cross-functional teams to ensure data consistency and integrity across projects. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Modeling Techniques and Methodologies. - Strong expertise in designing conceptual, logical, and physical data models to support complex business processes. - Experience with relational and non-relational database systems and their data modeling requirements. - Ability to analyze and translate business requirements into effective data structures. - Familiarity with data governance principles and best practices to ensure data quality and compliance. - Skilled in using data modeling tools and software to create and maintain accurate data representations. Additional Information: - The candidate should have minimum 7.5 years of experience in Data Modeling Techniques and Methodologies. - This position is based at our Bengaluru office. - A 15 years full time education is required. 15 years full time education About Accenture Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.Visit us at www.accenture.com Equal Employment Opportunity Statement We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.