Data Platform Engineer

Project Role : Data Platform Engineer
Project Role Description : Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models.
Must have skills : Data Modeling Techniques and Methodologies
Good to have skills : NA
Minimum 5 year(s) of experience is required
Educational Qualification : 15 years full time education

Summary:
As a Data Modeler, you will be responsible for understanding business requirements, data mappings, create and maintain data models through different stages using data modeling tools and handing over the physical design/DDL scripts to the data engineers for implementations of the data models. Your role involves creating and maintaining data models, ensuring performance and quality or deliverables.

Experience
- Overall IT experience (No of years) - 7+
- Data Modeling Experience - 3+

Key Responsibilities:
- Drive discussions with clients teams to understand business requirements, develop Data Models that fits in the requirements
- Drive Discovery activities and design workshops with client and support design discussions
- Create Data Modeling deliverables and getting sign-off
- Develop the solution blueprint and scoping, do estimation for delivery project.


Technical Experience:

Must Have Skills:
- 7+ year overall IT experience with 3+ years in Data Modeling
- Data modeling experience in Dimensional Modeling/3-NF modeling/No-SQL DB modeling
- Should have experience on at least one Cloud DB Design work
- Conversant with Modern Data Platform
- Work Experience on data transformation and analytic projects, Understanding of DWH.
- Instrumental in DB design through all stages of Data Modeling
- Experience in at least one leading Data Modeling Tools e.g. Erwin, ER Studio or equivalent

Good to Have Skills:
- Any of these add-on skills - Data Vault Modeling, Graph Database Modelling, RDF, Document DB Modeling, Ontology, Semantic Data Modeling
- Preferred understanding of Data Analytics on Cloud landscape and Data Lake design knowledge.
- Cloud Data Engineering, Cloud Data Integration
- Must be familiar with Data Architecture Principles.

Professional Experience:
- Strong requirement analysis and technical solutioning skill in Data and Analytics
- Excellent writing, communication and presentation skills.
- Eagerness to learn new skills and develop self on an ongoing basis.
- Good client facing and interpersonal skills

Educational Qualification:
- B.E. or B.Tech. must15 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 atwww.accenture.com

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