KPMG Senior Big Data Software Engineer in Boston, Massachusetts
Business Title: Senior Big Data Software Engineer
Requisition Number: 67136
Function: Business Support Services
Area of Interest: Data Analytics
The fastest growing Big Four professional services firm in the U.S., KPMG is known for being a great place to work and build a career. We provide audit, tax and advisory services for organizations in today's most important industries. Our growth is driven by delivering real results for our clients. It's also enabled by our culture, which encourages individual development, embraces an inclusive environment, rewards innovative excellence and supports our communities. With qualities like those, it's no wonder we're consistently ranked among the best companies to work for by Fortune Magazine, Consulting Magazine, Working Mother Magazine, Diversity Inc. and others. If you're as passionate about your future as we are, join our team.
KPMG is currently seeking a Senior Big Data Software Engineer, to join our Advanced Analytics team.
Rapidly architect, design, prototype, and implement architectures to tackle the Big Data and Data Science needs for a variety of Fortune 1000 corporations and other major organizations
Work in cross-disciplinary teams with KPMG industry experts to understand client needs and ingest rich data sources such as social media, news, internal/external documents, emails financial data, and operational data
Research, experiment, and utilize leading Big Data methodologies, such as Hadoop, Spark, Redshift, Netezza, SAP HANA, and Microsoft Azure
Implement and test data processing pipelines, and data mining / data science algorithms on a variety of hosted settings, such as AWS, Azure, client technology stacks, and KPMG's own clusters
Translate advanced business analytics problems into technical approaches that yield actionable recommendations, across multiple, diverse domains; communicate results and educate others through design and build of insightful visualizations, reports, and presentations
Develop skills in business requirement capture and translation, hypothesis-driven consulting, work stream and project management, and client relationship development
Bachelor's degree from an accredited college/university in Computer Science, Computer Engineering, or related field and minimum four years of big data experience with multiple programming languages and technologies; Master's with two years of relevant experience; or PhD with one year of relevant experience
Fluency in several programming languages such as Python, Scala, or Java, with the ability to pick up new languages and technologies quickly; understanding of cloud and distributed systems principles, including load balancing, networks, scaling, in-memory vs. disk, etc.; and experience with large-scale, big data methods, such as MapReduce, Hadoop, Spark, Hive, Impala, or Storm
Ability to work efficiently under Unix/Linux environment or .NET, with experience with source code management systems like GIT and SVN
Ability to work with team members and clients to assess needs, provide assistance, and resolve problems, using excellent problem-solving skills, verbal/written communication, and the ability to explain technical concepts to business people
Ability to travel up to 80%
Applicants must be currently authorized to work in the United States without the need for visa sponsorship now or in the future
KPMG LLP (the U.S. member firm of KPMG International) offers a comprehensive compensation and benefits package. KPMG is an equal opportunity employer. All qualified applicants are considered for employment without regard to race, color, creed, religion, age, sex/gender, national origin, ancestry, citizenship status, marital status, sexual orientation, gender identity or expression, disability, pregnancy, veteran status, genetic information, or other legally protected status. KPMG maintains a drug-free workplace. KPMG will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable local, state or federal law (including San Francisco Ordinance number 131192). No phone calls or agencies please.