Python Developer/Data Modelling Specialist - 6519349

Accenture•Morristown, NJ
•Onsite

About The Position

Accenture Flex is project-based work for a leading global professional services company. Employees work in their local metro area onsite at the project, reducing or eliminating travel. In this role, the Data Modeler works with business representatives, data owners, end users, application designers, and data architects to model current and new data. The role serves as a subject matter expert and collaborates with multiple teams, contributing to key decisions and solving problems within and across teams. The position requires 80% onsite client work in Pennington, NJ, or Jersey City, NJ, and client-mandated time away five days per quarter.

Requirements

  • At least 5 years of IT work experience.
  • Software engineering experience with data modeling, virtualization, and data analytics.
  • Experience with Python and SQL.
  • Advanced proficiency in data virtualization.
  • Associate degree.
  • Advanced proficiency in Python programming.
  • Advanced proficiency in data modeling.
  • Experience with Oracle SQL Developer and data analytics.
  • Good communication and leadership skills.
  • Must be authorized to work in the United States without current or future visa sponsorship.

Nice To Haves

  • Experience with the QUARTZ Framework.
  • Banking and finance domain knowledge and experience.

Responsibilities

  • Work with business representatives, data owners, end users, application designers, and data architects to model current and new data.
  • Collaborate with and manage the team to support effective performance, take responsibility for team decisions, engage with multiple teams, and contribute to key decisions.
  • Provide solutions to problems within the immediate team and across multiple teams.
  • Develop and refine data models aligned with business requirements and technical standards.
  • Share expertise and guide less experienced colleagues on data modeling best practices.
  • Analyze complex data structures and propose improvements to data quality and accessibility.
  • Collaborate with cross-functional teams to ensure data solutions meet organizational goals and compliance standards.
  • Contribute to continuous improvement of data management processes and tools.

Benefits

  • Medical coverage
  • Dental coverage
  • Vision coverage
  • Long-term disability coverage
  • 401(k) plan
  • Paid time off
  • Competitive rewards
  • Access to learning resources
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