Workday Data Conversion Consultant

Capgemini
United States
about 1 month ago
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Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Compensation
$78,853.0 - $123,198.0
Working hours
Regular working hours
Job source

Tech stack

Microsoft Excel Artificial Intelligence Airflow Data Analysis Microsoft Azure BigQuery Data Validation Data Cleansing Data Conversion Data Mapping Data Migration Data Security
+11 more
Data Structures Data Flow Control Azure Data Lake SQL Databases Systems Integration Workday HCM Workday Studio Cloud Migration EIB Workday Legacy Systems

Job description

Azure migration strategies Workday HCM SQL data validation data cleansing data mapping AI/ML

A Workday Data Conversion Consultant is responsible for planning, extracting, cleansing, transforming, validating, and loading legacy HR, payroll, finance, or talent management data into the Workday platform during implementation or migration projects., * Analyze source system data and define data conversion requirements.

  • Extract, clean, transform, and map data from legacy systems to Workday data structures.
  • Prepare and load data using Workday Enterprise Interface Builder (EIB) and other Workday loading tools.
  • Conduct data validation, reconciliation, and quality assurance activities.
  • Collaborate with business stakeholders, functional consultants, and technical teams to resolve data issues.
  • Develop conversion strategies, mapping documents, and data load schedules.
  • Support testing cycles, mock conversions, cutover activities, and go-live readiness.
  • Ensure data accuracy, integrity, and compliance with organizational policies.

Requirements

  • Experience with Workday HCM, Payroll, Finance, or Talent modules.
  • Strong knowledge of data migration and conversion methodologies.
  • Proficiency in Excel, SQL, data analysis, and data cleansing techniques.
  • Experience with EIB, Workday Studio, reports, and integrations.
  • Strong analytical, problem-solving, and stakeholder management skills.
  • Ability to manage multiple data loads and meet project deadlines.

Skills Required:

Must have:

  • GCP data platform architecture [BigQuery, Dataflow, Managed Apache Airflow (formerly Cloud Composer)]
  • secure data governance (NIST CSF, Assured Workloads, DLP/Encryption)
  • AI/ML integrations (Vertex AI, Agent Builder, BQ Conversational Analytics)

Good to have:

  • Cloud migration from Azure Data Lake

Benefits & conditions

The pay range that the employer in good faith reasonably expects to pay for this position is $37.91/hour - $59.23/hour. Our benefits include medical, dental, vision and retirement benefits. Applications will be accepted on an ongoing basis.

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