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KPMG Senior Associate, Data Engineering DLH in Stamford, Connecticut

Business Title: Senior Associate, Data Engineering DLH

Requisition Number: 62371 - 19

Function: Advisory

Area of Interest:

State: CT

City: Stamford

Description: Innovate. Collaborate. Build. Create. Solve. The KPMG Digital Lighthouse is KPMG's award-winning Analytics & AI Center of Excellence recognized by clients and leading analyst firms in the US and globally. The KPMG Lighthouse is a curation of specialized technical capabilities and domain experts working across the digital landscape: applied data science, AI, data engineering and insights, software engineering, automation, and big data. Here, 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. Our technology-agnostic approach enables us to scale up or down and integrate across leading platforms (https://www.kpmg.us/alliances/alliances-index.html) .

KPMG is currently seeking a Senior Associate in Digital Lighthouse for our Consulting (https://advisory.kpmg.us/) practice.

Responsibilities:

  • Rapidly architect, design, prototype, implement and optimize software systems to tackle Data Access, Data Management and Data Science needs for a variety of Fortune 1000 corporations and other major organizations; develop modular code to solve “real” world problems following best practices in the industry

  • Be a core player in technical process from ideation to delivery: Research, experiment and utilize leading data platforms and container methodologies to migrate and/or scale cloud data solutions; build pipelines and scalable analytic tools using leading technologies (Hadoop, Spark, Kafka, Kubernetes, Terraform, Airflow, AWS, Azure, GCP)

  • Regularly conduct peer code reviews to ensure code quality provide expert documentation and provide operating guidance for users of all levels; be a champion for high quality software using TDD and other quality control approaches

  • Stay relevant and ahead of the curve on industry needs and technology trends by growing and participating in cross-disciplinary communities; lead, mentor and teach team members; participate in developing and presenting thought leadership

  • Develop engineering designs impact business performance; translate between business and technical stakeholders; leverage technical background to lead technical work and build client relationships

  • Help drive the engineering business by pursuing innovation funding, building targeted industry solutions and extendable platforms to expand our technology and solution delivery capabilities

Qualifications:

  • Minimum two years of programming languages (Python, Scala preferred) with the ability to pick up new languages and technologies quickly; ability to rapidly ingest, transform, engineer and visualize data for both ad hoc and product-level (automated) data & analytics solutions; understanding of cloud and distributed systems principles (load balancing, networks, scaling, in-memory vs. disk); and experience with large-scale big data methods (Hadoop stack, Cloud, Kubernetes)

  • Bachelor's degree from an accredited college/university or Master's degree from an accredited college/university with minimum two years of experience; or a PhD in Computer Science, Computer Engineering, Engineering or related fields from an accredited college/university

  • Architecture and Integration Experience with coding and testing patterns working with existing commercial or open source software platforms; familiarity with different architecture patterns of development (Event Driven, API concepts, cloud managed services, functional programming, Lambda); capability to architect highly scalable distributed systems using different open source tools

  • Expertise with development tools and team methodologies (Agile, git, test driven development, CI/CD release management); comfortable working in Unix terminal and maintaining production data environment (database migrations, artifact infrastructure and code deployment)

  • 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 needs

  • Travel as needed

  • 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, age, 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 ( https://assets.kpmg.com/content/dam/kpmg/us/pdf/2018/09/eeo.pdf) contains further information regarding the firm's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please.

GL: 5

GF: 15292

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