KPMG Sr. Associate, Data Engineer - Alteryx in Atlanta, Georgia
Sr. Associate, Data Engineer - Alteryx
Requisition #: 35846
Practice Area: Business Support Services
Location: Atlanta, GA; New York, NY; 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 Data & Analytics Alteryx Engineer to join our- Center of Excellence for Advanced Analytics.
Lead the data engineering team or a work stream in a cross-functional engagement leveraging your Alteryx expertise; Provide infrastructure recommendation, roadmap, solution architecture; rapidly prototype, develop and optimize D&A implementations to tackle the BI/EDW/Big Data and Data Science needs for a variety of Fortune 1000 corporations and other major organizations
Lead/mentor the practice to design, develop and maintain D&A solutions on premise, cloud, KPMG-hosted or hybrid infrastructure; Be the team championing Alteryx as key tool.
Translate advanced business analytics problems into technical approaches that yield actionable recommendations across multiple and diverse domains; communicate results and educate others through design and build of insightful visualizations, reports, and presentations
Actively pursue and play data owner role in cross-disciplinary teams; Build solution architecture, logical/physical data models; Discover, profile, acquire, process, model and own data for the solutions; Implement data processing pipelines, data mining/science algorithms, and visualization engineering to help clients distill insights from rich data sources including social media, news, internal/external documents, emails, financial data, client data, and operational data
Suggest, lead and involve in research and experiment of leading and emerging BI/EDW/Big Data methodologies such as serverless data lake, AWS Redshift, Athena, Glue, GCP Bigquery, and MS PowerBI and apply them in solving real world client problems
Lead the process for pursuing innovations, target solutions, and extendable platforms for Lighthouse, KPMG, and client; Participate in developing and presenting thought leadership, and assist in ensuring that the Lighthouse technology stack incorporates and is optimized for using specific technologies
Minimum of four years of professional experience around big data systems with a professional services firm, an internal big data group or similar environment
Bachelor's degree or Master's Degree from an accredited college in Computer Science, Computer Engineering, or related field
Demonstrated ability to communicate complex technical concepts succinctly to non-technical colleagues, understand & manage interdependencies between all facets of a project; Demonstrated ability to lead client presentations; Familiarity with the end-to-end sales process; Demonstrated ability to manage the team to drive engagements to successful closure and also the ability to mentor others
Expertise with programming methodologies such as version control, testing, QA, and development methodologies such as Waterfall and Agile; Ability to work efficiently under Unix/Linux environment or .NET, with experience with source code management systems like GIT and SVN; 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
Strong experience and knowledge in BI/EDW/Big Data tool sets with a particular focus on Alteryx. Knowledge in distributed computing architecture, massive-parallel processing big data platforms, like Hadoop, MapReduce, HDFS, Spark, Hive/Impala, H-Base/MongoDB/Casandra, Teradata/Netezza/Redshift; Skilled-level fluency of SQL; Strong experience and knowledge of Linux/Unix/Windows/.NET; Market-leading fluency in several programming languages: Bash/ksh/Powershell; Python/Perl/R, Java/C/C++/Scala
Ability to travel up to eighty percent of the time; Must be legally authorized to work in the United States without sponsorship of Visa
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 or military status, genetic information, genetic disposition and or carrier status, domestic violence status, personal appearance, family responsibility, matriculation or political affiliation, status with regard to public assistance, 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.
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).
401(k) and Pension Plans
Dependent Care Flexible Spending Account
Health Care Flexible Spending Account
Mortgage Assistance Program
Hyatt Legal Plan
Benefits vary by employment status.