Senior DATA CONSULTANT - GRAPH & SEMANTICS experience
Sample resume attached
Need mandatory :

1. Java : _______yrs exp / Python : ____ yrs
2. RDF / OWL : _______yrs exp
3. Ontologist : ___________yrs
4. SparkQL : ______ yrs

1 st round : tech screen
2 nd round : 30 min video Technical round
3 rd round : final client

Senior DATA CONSULTANT - GRAPH & SEMANTICS / / Onsite Mandatory / Need Local to VA , DC and MD
Any working visa is fine
Need Seniors only
6 months
Location : Mclean VA
Need onsite mandatory
Need locals only to VA , MD , DC or candidate ready to relocate

Senior DATA CONSULTANT - GRAPH & SEMANTICS
Virginia (on-site)
Senior Data Consultant - Graph & Semantics
Role Description

• Financial services firms have significant challenges and great opportunities to manage and exploit data - their own and new big data sets. Their ability to compete, to comply, and to transform is tied to their ability to unlock hidden links between data scattered around various data silos and extract value from it. Next generation tools in the industry will include AI systems powered by knowledge graphs - able to handle complexity and ensure that the answers they provide have context and can be explained
• Graph and Semantic Engineering are emerging enterprise data technologies that leverage ontologies and related advanced analytics - including artificial intelligence - to build and represent knowledge in expressive and Client ways
• Capco's clients are beginning to exploit this paradigm shift - a shift in how highly variable structured and unstructured information is linked - to building knowledge that can be meaningfully understood by people and machines
• Primary responsibility in this role is to help clients succeed by understanding, exploiting, designing, and implementing solutions involving graph and semantic technologies - including advanced data management and analytics, and other innovative new ways
• Other responsibilities include growing the Data Practice domain in scale and capability - applying an entrepreneurial mindset to build upon Capco established capabilities and relationships - maintaining thought leadership in how graph is applied today, and where future strategies could lead
• This will involve shaping and executing the hiring strategy and developing the best of in-house talent
• In the fast-changing landscape of potential partners in graph technology, an ongoing curiosity and developing connections with key partners, will enable valuable support for clients

Skills & Expertise

• Graph and Semantic Senior Data Consultants will require multi-disciplinary capabilities required to explain, design, and deliver powerful knowledge graph models - a good balance of business and technical understanding
• 3 years of experience with Knowledge Representation and Semantic Technologies, RDF,OWL including semantic modelling and data
• Has worked on multiple use cases for these technologies, and is able to provide guidance on prudent user interface design which exploits the power of graph and mitigates the challenges of visualizing graph data
• Has working knowledge of several Graph/Triple Stores and related technologies, e.g. AnzoGraph, PoolParty, Stardog, TigerGraph, Ontotext GraphDB, Grakn, MarkLogic, Metaphactory
• Has managed graph projects with a sizeable amount of data
• Understanding of ETL techniques and associated software
• Excellent Communication skills - be an effective, passionate, trusted advocate and communicator for Graph and Semantic Technologies
• Experience in applying semantic technologies in an industry setting, or practical experience as part of an academic, Library Science or Information/Knowledge Management career
• Must be able/willing to travel Monday-Thursday weekly.

Other desired skills:

• Good awareness of financial services domain is a great advantage
• Ability to utilize NLP, machine learning and semantic text mining to translate data into machine understandable representations to support advanced analytics, classification, inference processing and knowledge extraction
• Familiarity with mapping techniques, e.g. R2RML, for transforming relational/tabular datasets into triples
• Agile software development frameworks, e.g. Scrum, Kanban, Extreme Programming
• Understanding of data management and governance toolsets and methodologies including data lineage and traceability concepts
• Programming skills: Python, Java, Javascript etc