KPMG Sr. Associate, Big Data Software Engineer in Austin, Texas

Sr. Associate, Big Data Software Engineer

Dallas, Texas

Requisition #: 38349

Practice Area: Business Support Services

Location: Denver, CO; Washington, DC; Atlanta, GA; Baltimore, MD; Philadelphia, PA; Austin, TX; Dallas, TX

Innovate. Collaborate. Shine. Lighthouse – KPMG's Center of Excellence for Advanced Analytics – has both applied data science, AI, and big data architecture capabilities. Here, you'll work with a diverse team of sophisticated data and analytics professionals to explore the solutions for clients in a platform-diverse environment. This means your ability to find answers is limited only by your creativity in leveraging a vast array of techniques and tools. Be a part of a high-energy, diverse, fast-paced, and innovative culture that delivers with the agility of a tech startup and the backing of a leading global consulting firm. For you, that translates into the chance to work on a wide range of projects – covering technologies and solutions from AI to optimization – and the power to have a real impact in the business world. So, bring your creativity and pioneering spirit to KPMG Lighthouse.

KPMG is currently seeking a Sr. Associate to join our- Center of Excellence for Advanced Analytics.

Responsibilities:

  • Rapidly architect, design, 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; 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 professionals 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 AWS) with cloud/on premise/hybrid hosting solutions; Provide proficient documentation and operating guidance for users of all levels

  • 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; Help promote the KPMG brand in the broader data analytics community

  • Help drive the process for pursuing innovations, target solutions, and extendable platforms for Lighthouse, KPMG, and clients; Participate in developing and presenting thought leadership, and help to ensure that the Lighthouse technology stack incorporates and is optimized for using specific technologies

Qualifications:

  • Minimum of four years of big data experience with multiple programming languages and technologies (at least two years related to professional services preferred); or PhD in related field

  • Bachelor's degree or Master's degree from an accredited college/university in Computer Science, Computer Engineering, or related field

  • Proficient ability to rapidly ingest, transform, engineer, and visualize data for both ad hoc and product-level (e.g., automated) data & analytics solutions; Strong knowledge with programming methodologies (version control, testing, QA) and development methodologies (Waterfall and Agile); Ability to work efficiently under Unix/Linux environment or .NET, experience with source code management systems like GIT and SVN; Ability to communicate technical concepts to non-technical team members

  • Market-leading 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); experience with large-scale big data methods (MapReduce, Hadoop, Spark, Hive, Impala, or Storm); Full-stack development capability is preferred

  • Experience with object-oriented design, coding and testing patterns as well as experience in engineering (commercial or open source) software platforms and large-scale data infrastructures; Familiarity with different architecture patterns of development (such as Event Driven, SOA, micro services, functional programming, Lambda); Capability to architect highly scalable distributed systems using different open source tools

  • Ability to work with other technical team members to assess needs, provide assistance, and resolve technical problems; Understand engagement objectives which includes a clear understanding of the client's business problem and how the engagement helps address the client's business problem

  • 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. Thecontains further information regarding the firm's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please.

Our Benefits

Health

KPMG offers a range of medical insurance options to meet your needs as well as prescription drug coverage, health care flexible spending accounts, and dependent day care flexible spending accounts.

Personal Time Off (PTO)

Up to 30 PTO Days per year (depending on job classification/level/years of service).

Financial

  • 401(k) and Pension Plans

  • Dependent Care Flexible Spending Account

  • Health Care Flexible Spending Account

  • Mortgage Assistance Program

  • HomeBenefits@Work Program

  • Hyatt Legal Plan

  • Benefits vary by employment status.