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KPMG Senior Specialist, Data Engineer in Austin, Texas

Business Title: Senior Specialist, Data Engineer

Requisition Number: 52956 - 83

Function: Advisory

Area of Interest:

State: TX

City: Austin

Description:

The KPMG Advisory practice is currently our fastest growing practice. We are seeing tremendous client demand, and looking forward we don't anticipate that slowing down. In this ever-changing market environment, our professionals must be adaptable and thrive in a collaborative, team-driven culture. At KPMG, our people are our number one priority. With a wealth of learning and career development opportunities, a world-class training facility and leading market tools, we make sure our people continue to grow both professionally and personally. If you're looking for a firm with a strong team connection where you can be your whole self, have an impact, advance your skills, deepen your experiences, and have the flexibility and access to constantly find new areas of inspiration and expand your capabilities, then consider a career in Advisory.

KPMG is currently seeking a Senior Specialist in Deal Advisory and Strategy Analytics for our Deal Advisory practice.

Responsibilities:

  • Assess, capture, and translate complex business issues and solution requirements into structured technical tasks for the data engineering team, including rapid learning of industry standards and development of effective work stream plans

  • Work on the development of big data analytics and cloud-based applications to facilitate the work of data scientists and application developers

  • Design, build, launch, optimize, and extend full-stack data and business intelligence solutions spanning extraction, storage, complex transformation, and visualization layers

  • Support build of big data environments that enable analytics solutions on a variety of big data platforms, including assessing the usefulness of new technologies and advocating for their adoption

  • Serve as the primary point of contact for question and escalations related to data architecture and solutions applicable to business problems or use cases

Qualifications:

  • Minimum of three years of experience working as a data engineer

  • Bachelor's degree from an accredited college/university in a numerate subject (Computer Science, Mathematics, Electrical Engineering, Statistics, or Science) or equivalent practical experience

  • Proven experience with creating and maintaining ETL/ELT pipelines that operate on a variety of sources, such as APIs, FTP sites, cloud-based blob stores, databases (relational and non-relational), unstructured data, and GIS

  • Solid experience working with operational programming tasks, such as version control, CI/CD, testing and quality assurance

  • Experience with Apache data projects (Hadoop, Spark, Hive, Airflow, etc.), or cloud platform equivalents (Databricks, Azure Data Lake Services, Azure Data Factory, etc.) and in one or more of the following programming languages: Python, Scala, R, Java, Golang, Kotlin, C, or C++)

  • Working knowledge of SDLC methodologies, particularly Agile, and project management tools, preferably Azure DevOps

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.

GL: 4

GF: 15299

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