1 day ago

Associate, Data Engineer

KPMG US

On Site
Full Time
$85,000
Ashburn, VA

Job Overview

Job TitleAssociate, Data Engineer
Job TypeFull Time
Offered Salary$85,000
LocationAshburn, VA

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Job Description

About KPMG US

Known for being a great place to work and build a career, KPMG provides audit, tax and advisory services for organizations in today's most important industries. Our growth is driven by delivering real results for our clients. It's also enabled by our culture, which encourages individual development, embraces an inclusive environment, rewards innovative excellence and supports our communities. With qualities like those, it's no wonder we're consistently ranked among the best companies to work for by Fortune Magazine, Consulting Magazine, Seramount, Fair360 and others. If you're as passionate about your future as we are, join our team.

KPMG is currently seeking an Associate, Data Engineer to join our Digital Nexus technology organization. This is a hybrid work opportunity.

Responsibilities of an Associate, Data Engineer

  • Perform a variety of tasks related to the governance, management and maintenance of data, including but not limited to standards development, metadata management and reporting
  • Document data interfaces and data mappings; analyze and interpret data
  • Develop business and technical requirement documents
  • Support the Data Strategy & Operations leadership team in the overall operations of the data organization
  • Identify and implement cross-functional process improvement opportunities that support the organization
  • Assist project managers in creating effective and achievable project plans, management of the team's execution of project tasks and secure acceptance and approval of deliverables from the project stakeholders
  • Act with integrity, professionalism, and personal responsibility to uphold KPMG's respectful and courteous work environment

Qualifications for an Associate, Data Engineer

  • Minimum one year of recent experience working with data including data sourcing, data analysis and data integration
  • Bachelor's degree from an accredited college or university is preferred; High School diploma or GED required
  • Experience in statistical analysis, working in an IT environment supporting projects and strong experience using Microsoft suite (Excel, PowerPoint, Word and Outlook) preferred.
  • Strong verbal/written communication, problem solving, organizational and independent judgment skills to support an environment driven by customer service and teamwork
  • Ability to build productive relationships with peers and maintain confidentiality of sensitive and privileged information
  • Work location may be in the office, at client sites, or virtual/remote depending on business need; client site locations may require travel and overnight/extended stay
  • Must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future. KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa)

Key skills/competency

  • Data Governance
  • Metadata Management
  • Data Reporting
  • Data Analysis
  • Data Integration
  • Requirements Documentation
  • Process Improvement
  • Project Support
  • Statistical Analysis
  • Microsoft Office Suite

Tags:

Data Engineer
Data Governance
Metadata Management
Data Analysis
Data Integration
Reporting
Process Improvement
Project Support
Statistical Analysis
Microsoft Excel
Microsoft PowerPoint
Microsoft Word
Microsoft Outlook
SQL
ETL
Cloud Platforms
Data Sourcing
Data Maintenance
Business Requirements
Technical Requirements

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How to Get Hired at KPMG US

  • Research KPMG US's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor to align your application.
  • Tailor your resume: Highlight your data sourcing, analysis, and integration experience, along with statistical analysis and IT project support, for KPMG US.
  • Showcase problem-solving skills: Prepare specific examples demonstrating strong analytical capabilities and independent judgment for KPMG's interview process.
  • Network strategically: Connect with KPMG US professionals on LinkedIn to gain insights into their data organization and potential referral opportunities.
  • Emphasize integrity and teamwork: Frame your experiences to reflect KPMG's core values, especially regarding a respectful and collaborative work environment.

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