Data Modeler

Posted:
12/16/2024, 12:00:53 PM

Location(s):
Madhya Pradesh, India ⋅ Indore, Madhya Pradesh, India

Experience Level(s):
Expert or higher ⋅ Senior

Field(s):
Data & Analytics

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 : No Function Specialty
Minimum 7.5 year(s) of experience is required
Educational Qualification : 15 years full time education

"Project Role : Data Vault modeler / Architect Project Role Description : Work with key business representatives, data owners, end users, application designers and data architects to model current and new data using data vault methodologies. Must have skills : Data Modeling Techniques and Methodologies (Data Vault must) Good to have skills : Any one/more of - Teradata Vantage, Snowflake Data Warehouse, Databricks, Google Bigquery, Azure Synapse Minimum 8+ year(s) of experience is required. 5+ yrs in data modeling. 3+ yrs in data vault Educational Qualification : BE / BTech Summary: As a Data Vault Modeler, you will work with key business representatives, data owners, end users, application designers, and data architects to model current and new data using data vault. You will contribute to the development and implementation of data model using data vault methodologies, ensuring data quality and integrity. Data Vault experience is mandatory for this role. Roles & Responsibilities: - Drive discussions with clients deal teams to understand business requirements, how Data Vault Model fits in implementation and solutioning - Lead the design, development, and implementation of efficient and effective Data Vault solution. - Develop the solution blueprint and scoping, estimation, staffing for delivery project and solutioning - Drive Discovery activities and design workshops with client and lead strategic road mapping and operating model design discussions - Act as the primary point of contact for all data vault related queries and issues, collaborating with cross-functional teams to ensure timely resolution. - Ensure adherence to best practices and standards for data vault implementation, including code reviews, testing and documentation. - Stay updated with the latest advancements in technology and industry trends, integrating innovative approaches for sustained competitive advantage. Technical Experience: Must Have Skills: - 8+ years overall IT experience with 5+ years in Data Modeling - 3+ years in data vault - Data modeling experience in Dimensional Modeling, Cloud Database Modeling, 3-NF modeling - Data Architecture Principles - Experienced in Bigdata on cloud - Instrumental in DB design through all stages of Data Modeling - Experience in any one cloud AWS/GCP/Azure - Any one of DB Skills – Teradata Vantage, Snowflake Data Warehouse, Databricks, Google Bigquery or Azure Synapse Good to Have Skills: - Any cloud certification - Cloud DB Design and Build,Data Engineering, Cloud Data Integration - Graph Database Modelling, Conversion of RDBMS data model to Graph Data Model - RDF, Document DB Modeling, Ontology - Preferred understanding of Data Analytics on Cloud landscape and Data Lake design knowledge. - Experience in estimations,PoVs, Solution Approach creation - Work Experience on data transformation and analytic projects,Understanding of DWH. - Developing data strategies and architectures, defining data standards and policies, overseeing data integration and governance Professional Experience: - Strong requirement analysis and technical solutioning skill in Data and Analytics - Excellent writing, communication and presentation skills. - Eagerness to learn and develop self on an ongoing basis. - Excellent client facing and interpersonal skills Educational Qualification: - B.E or B.Tech must"

15 years full time education

About Accenture

Accenture is a leading global professional services company that helps the world’s leading organizations build their digital core, optimize their operations, accelerate revenue growth and enhance services—creating tangible value at speed and scale. We are a talent- and innovation-led company with 774,000 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 

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Accenture

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