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 : Graph Databases
Good to have skills : NA
Minimum 7.5 year(s) of experience is required
Educational Qualification : 15 years full time education

Summary:
As a Data Platform Engineer, you will assist with the data platform blueprint and design, encompassing the relevant data platform components. Your typical day will involve collaborating with Integration Architects and Data Architects to ensure cohesive integration between systems and data models, while also engaging in discussions to refine and enhance the overall data architecture strategy. You will be involved in various stages of the data platform lifecycle, ensuring that all components work harmoniously to support the organization's data needs and objectives.

Experience
- Overall IT experience (No of years) - 9+
- Design, Implementation and deployment of Graph based solution experience - 3+

Key Responsibilities:
- Design scalable, high performance enterprise graph data solutions, including graph databases, data models, and integration patterns.
- Architect/Design scalable data pipelines to ingest, process, and expose graph data for analytical and operational use cases.
- Devise Labeled Property / Ontology graph models aligned with business domains and use cases (e.g., fraud detection, recommendation, supply chain, entity resolution). Create Graph Solution deliverables and getting sign-off
Technical Experience:

Must Have Skills:
- 9+ year overall IT experience with 3+ years in Graph based solutions
- Deep hand-on knowledge in graph databases such as Neo4j, TigerGraph, AWS Neptune, or similar.
- Strong proficiency in graph modeling, graph integration and graph query optimization.
- Experience in building scalable ETL pipelines.
- Work Experience on data transformation and analytic projects.
- Experience in at least one programming languages e.g. Python, Scala, SQL.
Good to Have Skills:
- Any of these add-on skills - Graph Database Modelling, Ontology, Semantic Data Modeling. -Familiarity with graph analytics, graph embeddings, or machine learning on graphs.
- Preferred understanding of Data Analytics on Cloud landscape and Data Lake 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.
- 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 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 

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