Senior Data Validation & ERP Data Engineer

PwC South Africa

New York (NY)

On-site

Confidential

Full time

14 days+

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Benefits offered by this job

medical
dental
vision
401k
holiday pay
vacation
personal and family sick leave

Job summary

PwC in New York is seeking a Data Validation Risk - Senior Associate to transform raw data into actionable insights, design robust data pipelines for ERP and analytics projects, and enhance data governance across client engagements.

You will lead data integration and transformation efforts, ensure data quality, and mentor junior staff while delivering solutions that support strategic decision making in a dynamic environment.

Qualifications

  • At least a Bachelor's degree.
  • At least 3 years of experience.

Responsibilities

  • Utilizing data validation tools to facilitate efficient data conversions and ERP implementations.
  • Developing data integration and transformation solutions to support client needs.
  • Building and maintaining data infrastructure to support scalable data solutions.
  • Applying data lifecycle and governance skills (data lineage, traceability, data quality, reliability and accuracy) on data and ERP implementations.
  • Managing data validation processes to maintain data quality and integrity.
  • Collaborating with clients to understand their data requirements and deliver tailored solutions.
  • Manipulating large and complex data sets using Excel, Alteryx, SQL, Python, Databricks, or Snowflake.
  • Engaging in continuous learning to adapt to emerging data technologies and methodologies.

Skills

Excel
Alteryx
SQL
Python
Databricks
Snowflake
Data validation
Data transformation
Cloud platforms
IT Audit/SOX

Education

Bachelor's degree

Tools

AWS
Azure

Job description

PwC in New York is seeking a Data Validation Risk - Senior Associate to transform raw data into actionable insights, design robust data pipelines for ERP and analytics projects, and enhance data governance across client engagements.

You will lead data integration and transformation efforts, ensure data quality, and mentor junior staff while delivering solutions that support strategic decision making in a dynamic environment.

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