Senior Specialist, Federal Data Engineer with Security Clearance
KPMG
2024-11-07 16:41:04
Saint Louis, Missouri, United States
Job type: fulltime
Job industry: I.T. & Communications
Job description
Business Title: Senior Specialist, Federal Data Engineer Requisition Number: 117456 - 48 Function: Advisory Area of Interest: State: MO City: Saint Louis 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 to join our Federal Advisory practice. Responsibilities: Develop code to prepare, extract, and enrich a variety of structured and unstructured data sources, working with the business to understand available resources / constraints around data
Create production quality data pipelines and Machine Learning pipelines that can be deployed at scale
Translate advanced business analytics problems into technical approaches that yield actionable recommendations, in diverse domains (risk management, product development, marketing research, supply chain, public policy)
Support leading teams in the development of client solutions utilizing analytics, exploratory data analysis, data wrangling, and ETL
Provide oversight, scoping, technical assistance, and quality control over the development of analytics solutions using analytics / data wrangling tools (e.g. Python, R, SQL, SAS)
Perform operations to prepare data for analysis (e.g. data cleansing, data integration, data transformation)
Lead discussions with clients on the value proposition of analytics, analytic methodologies, and outputs of analytic solutions
Develop documentation / guides for analytics usage and maintenance
Qualifications: A minimum of three years of data engineering / analytics experience
Bachelor's degree from an accredited college / university
Design / implement scalable, reliable, and high-performance data solutions on AWS using Databricks, ensuring alignment with business objectives and technical requirements
Develop end-to-end data pipelines, data warehousing, and analytics solutions leveraging Databricks and AWS services such as S3, Redshift, Glue, and Lambda
Hands-on experience data engineering, cloud architecture, or related fields with a focus on AWS and Databricks
Strong understanding of data modeling, ETL processes, and data warehousing concepts
Proficiency in programming languages such as Python, Scala, SQL
Familiarity with development tools and methodologies (e.g. - Agile, GIT, test driven development, CI/CD release management)
Ability to travel as required to support firm engagements
Applicant must possess a U.S. Government Secret clearance
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