Data Engineer

Overview

$58-62
Accepts corp to corp applications
Contract - 4 day((s))

Skills

AWS
python
SQL
Spark

Job Details

Title: Data Engineer
Location: Richmond, VA || New York, NYC (Hybrid 3 days onsite in a week)(No Relocation allowed)
Type: Contract


Role & Responsibilities:
Team is Specifically tasked with Supporting and Maintaining Data Pipelines and commercial data Refinery for commercial data Ecosystems.
Project - Replacement of General Ledger system or ERP from PeopleSoft to Workday.

Must-Have Skills:
  • Build data products
  • Python
  • SQL
  • Spark
  • AWS
  • Some testing : like unit testing
Key Responsibilities:

1. ERP Support
  • Knowledge of ERP systems (PeopleSoft, Workday)
  • Experience with financial ledger and ERP migration
  • Deep SME-level understanding of financial management
2. Data Refinery & Metrics Standardization
  • Involvement in client's broader data refinery project
  • Building, testing, and deploying standardized metrics and data products
  • Supporting organization-wide standardization initiatives
3. Application & ETL Support
  • Light application support (internal data management tools)
  • Experience with vulnerability management processes (TREX)
  • Familiarity with enterprise tech backlog processes (ETBs)
4. Run the Engine / BAU Support
  • Handle business-as-usual tasks to free up internal associates
  • Candidates should be proactive and experienced in supporting recurring operational tasks
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

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