<p>We are The Lighthouse within KPMG's Consulting practice. We tap into the power of emerging technologies and scientific breakthroughs to create solutions and products that address the largest and most complex issues faced by global companies. By blending technology with our industry expertise, we're able to harness the potential of Cloud, AI, ML, IoT, 5G, and quantum computing to design and implement real-world solutions for a variety of business problems. Work with confidence knowing your ideas are heard and backed by one of the world's top professional services firms. Spark your curiosity and ignite your career at The Lighthouse.</p>

<p>KPMG is currently seeking a Sr. Associate to join our <a href="https://home.kpmg.com/us/en/home/insights/2015/01/data-and-analytics.html?Location=us" target="_blank">KPMG Lighthouse</a> - Center of Excellence for Advanced Analytics.</p><p>Responsibilities:</p><ul><li>Lead the data engineering team or a work stream in a cross-functional engagement; Provide infrastructure recommendation, roadmap, solution architecture; rapidly prototype, develop and optimize D&amp;A implementations to tackle the BI/EDW/Big Data and Data Science needs for a variety of Fortune 1000 corporations and other major organizations</li><li>Lead/mentor the practice to design, develop and maintain D&amp;A solutions on premise, cloud, KPMG-hosted or hybrid infrastructure; Be the team champion of some mainstream BI/EDW/Big Data toolsets like Tableau, Alteryx, Informatica, Pentaho, Er-Win, Power Designer</li><li>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</li><li>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</li><li>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</li><li>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</li></ul><p>Qualifications:</p><ul><li>Minimum of four years of professional experience around big data systems with a professional services firm, an internal big data group or similar environment</li><li>Bachelors degree or Masters Degree from an accredited college in Computer Science, Computer Engineering, or related field</li><li>Demonstrated ability to communicate complex technical concepts succinctly to non-technical colleagues, understand &amp; 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</li><li>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</li><li>Strong experience and knowledge in BI/EDW/Big Data toolsets: Tableau, Alteryx, Informatica, Pentaho, Er-Win, Power Designer; cloud infrastructures: AWS, MS Azure and GCP including their D&amp;A related Microservices; Ability to implement data lake and serverless data lake; Experience and 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</li><li>Ability to travel up to eighty percent of the time; Must be legally authorized to work in the United States without sponsorship of Visa</li></ul>

<p>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, age, sex, sexual orientation, gender identity, national origin, citizenship status, disability, protected veteran status, or any other category protected by applicable federal, state or local laws. The attached link “<span><strong>https://assets.kpmg.com/content/dam/kpmg/us/pdf/2018/09/eeo.pdf</strong>?&nbsp;</span>”contains further information regarding the firm's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please.</p><p><br></p><p>KPMG does not currently require partners or employees to be fully vaccinated or test negative for COVID-19 in order to go to KPMG offices, client sites or KPMG events, except when mandated by federal, state or local law. In some circumstances, clients also may require proof of vaccination or testing (e.g., to go to the client site).</p><p><br></p><p>KPMG recruits on a rolling basis. Candidates are considered as they apply, until the opportunity is filled. Candidates are encouraged to apply expeditiously to any role(s) for which they are qualified that is also of interest to them.</p>