Basic Qualifications:Minimum Degree Required:Bachelor Degree

Minimum Years of Experience:5.5 year(s)

Preferred Qualifications:Degree Preferred:Master DegreePreferred Fields of Study:Software Engineering, Computer and Information Science, Data Processing/Analytics

Additional Educational Preferences:Other related fields of study with relevant experience may be considered.Preferred Knowledge/Skill

Understanding architectural design and data platform delivery in technologies that include, but are not limited to cloud, ETL, data streaming, data storage, data modeling, APIs/microservices, automation, continuous integration/continuous deployment;

Showcasing work experience as a Data Engineer, Data Architect or similar role;

Showcasing data engineering knowledge around complex efforts within established Software Development Lifecycles and methodologies including agile, scrum, iterative and waterfall;

Showcasing technical knowledge that spans multiple platforms and portfolio of applications with demonstrated knowledge of the business strategic priorities in order to resolve complex problems;

Utilizing IT processes and frameworks including, but not limited to, Identity Access Management (IdAM), Enterprise Application Integration, Data Warehousing, Business Intelligence, Reporting, Mobility, Master Data Management, and Search;

Understanding of database structure principles;

Showcasing advanced experience building and maintaining optimal data pipeline architecture and data streaming and integrations using tools such as ADF, SSIS, Informatica, API Management, Enterprise Service Bus (preferably Kafka);

Showcasing advanced SQL knowledge and experience working with relational databases and performance optimization;

Demonstrating data mining and segmentation techniques;

Exhibiting knowledge in relational SQL, NoSQL and Big Data technologies;

Understanding Data Federation/Virtualization technologies, such as PowerBI, Tableau, D3.js, and implementing Cloud based solutions;

Assessing and analyzing system requirements;

Showcasing analytical skills and a problem-solving attitude;

Demonstrating virtual leadership and motivational skills;

Recommending and participating in activities related to the design, development and maintenance of the Enterprise Data Architecture;

developing internal relationships and PwC brand;

Demonstrating time management skills with the ability to handle multiple projects simultaneously;

Leveraging business knowledge and interpersonal skills to build, maintain, and influence relationships with leaders throughout the business and IT.