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Associate Big Data SW Eng - Big Data Systems for AI 2020 National

KPMG LLP
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Responsibilities & Qualifications
KPMG is currently seeking an Associate for our Lighthouse - Data & Analytics – Software Engineer – Big Data Systems for AI practice.

While this requisition may state a specific geographic office, please note that our positions are location flexible between our major hubs. Opportunities may include, but are not limited to, Atlanta, Chicago, Dallas, Denver, New York City, Orange County, Philadelphia, Seattle, Washington DC. Please proceed with applying here, and let us know your location preference during interview phase if applicable.

Responsibilities:
• Rapidly prototype, implement and optimize architectures to tackle the Big Data and Data Science needs for a variety of Fortune 1000 corporations and other major organizations who are KPMG clients.
• Develop modular code base to solve real world problems and conduct regular peer code reviews to ensure code quality and compliance following best practices in the industry.
• Work in cross-disciplinary teams with KPMG industry experts to understand client needs and ingest rich data sources (social media, news, internal/external documents, emails, financial data, and operational data).
• Research, experiment, and utilize leading Big Data methodologies (Hadoop, Spark, Kafka, Netezza, SAP HANA, and Amazon Web Services) with cloud/on premise/hybrid hosting solutions. Providing expert documentation and operating guidance for users at all levels.
• Help drive the process for pursuing innovations, target solutions, and extendable platforms for Lighthouse, KPMG, and client while promoting KPMG brand in the broader data analytics community.
• Participate in developing and presenting thought leadership, and assist in ensuring that the Lighthouse technology stack incorporates and is optimized for using specific technologies.

Qualifications:
• Bachelors, Masters or PhD degree from an accredited college/university in Computer Science, Computer Engineering, or related field; Preferred: relevant software development practice in multiple programming languages and technologies, ideally related to professional services.
• Fluency in several programming languages (Python, Scala, or Java), with the ability to pick up new languages and technologies quickly; understanding of cloud and distributed systems principles (load balancing, networks, scaling, in-memory vs. disk, etc.); working knowledge of large-scale big data methods (MapReduce, Hadoop, Spark, Hive, Impala, or Storm); full-stack development capability preferred; familiarity with different architecture patterns of development (Event Driven, SOA, micro services, functional programming, Lambda, etc.); ability to work under Unix/Linux environment or .NET; and knowledge of source code management systems (GIT and SVN).
• Exposure to object-oriented design, coding, and testing patterns, as well as engineering (commercial or open source) software platforms and large-scale data infrastructures preferred along with understanding of programming methodologies (version control, testing, QA) and development methodologies (Waterfall and Agile).
• Ability to travel up to 80% of the time, depending on project assignments.
• Targeted graduation date Fall 2019 through Summer 2020
Work Authorization
Applicants must be currently authorized to work in the United States without the need for visa sponsorship now or in the future.