Associate- Big Data Engineer
KPMG
6,774 reviews
Tampa, FL 33602
KPMG
6,774 reviews
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You'll be an important part of our high-energy, unique, fast-paced, and innovative culture that delivers with the agility of a tech startup and the backing of a leading global consulting firm. In this particular role, you'll work specifically in the AI Analytics & Engineering Community within the Digital Lighthouse, on a wide range of projects. From applied AI to optimization to big data platform engineering, your analytical and technical skills will drive real impact in the business world. At KPMG, our commitment to your career development helps to set us apart as an employer. We want to enhance your potential, both for yourself and as a contributor to our firm. That's why we provide every opportunity to expand your skills, knowledge and experiences through formal education and training programs, leadership development opportunities, and, as well as informal one-on-one coaching and mentoring from your KPMG colleagues.
KPMG is currently seeking a Big Data Engineer in Technology Enablement for our Consulting practice.
Responsibilities:
• Rapidly architect, design, prototype, and implement architectures to tackle the Big Data 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 data sources such as documents, 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
• Develop skills in business requirement capture and translation, hypothesis-driven consulting, work stream and project management, and client relationship development
Qualifications:
• A minimum of one year of data analytics experience with a an internal strategy/analytics group, or similar environment
• Bachelor's degree in a technical field from an accredited college or university (master's or MBA degree preferred) with expertise in programming languages and a working knowledge of topics such as Data Exploration, Profiling, Quality, Transformation and Mining
• Proficient in designing efficient and robust ETL/ELT workflows, schedulers, and event-based triggers
• Ability to quickly learn, adapt, and implement Open Source technologies and desire to learn new skills and techniques
• Ability to work independently with limited supervision as well as contribute to team efforts and ability to support multiple projects simultaneously and work in a fast-paced environment
• Ability to travel up to eighty percent of the time; 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 affirmative action-equal opportunity employer. KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other category protected by applicable federal, state or local laws. The attached link contains further information regarding the firm's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please.