KPMG Sr. Big Data Engineer in Santa Clara, California
Business Title: Sr. Big Data Engineer
Requisition Number: 68705
Function: Business Support Services
Area of Interest: Data Analytics
City: Santa Clara
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 Big Data Optimization Software Engineer, to join our Advanced Analytics Organization.
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
Architect, 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 in diverse domains such as risk management, product development, marketing research, supply chain, and public policy
Communicate results and educate others through insightful visualizations, reports, and presentations
Bachelor's degree from an accredited college or university in Computer Science, Computer Engineering, Engineering, or a related field with seven years of experience; a Master's degree with five years of experience or a PhD with two years of experience is preferred
Fluency in several programming languages such as Python, Scala, or Java, with the ability to pick up new languages and technologies quickly; 3+ years of Java or related software development experience, preferably developing Big Data applications or backend service architectures
Understanding of cloud and distributed systems principles, including load balancing, networks, scaling, and in-memory vs disk
Experience with Large Scale distributed computing and Big Data methods, such as MapReduce, Hadoop, Spark, Hive, Impala, Pig, Kafka, or Storm and experience in Object Oriented Design and Development with Java or C++ Knowledge and experience of Relational Databases (RDBMS), SQL and NOSQL data stores, Git, Jira, and Confluence
Strong analytical & problem solving skills and strong written and verbal communication skills; ability to work in dynamic team environments and multi-task effectively
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, physical or mental handicap unrelated to ability, pregnancy, veteran status, unfavorable discharge from military service, 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.