Sr. Data Engineer.

Job Purpose and Impact

This role will be responsible to create and maintain Data Quality Framework, Solution Design / Architecture and assisting the global data team and business users / data stewards in implementing a global or enterprise level data quality solution and help improving data quality across organization.

Key Accountabilities

Accountable for Data Quality solution design, development, Test, and Operationalization across Cargill.

Closely work with DQ engineering team and provide technical support and mentorship wherever required

Understand functional / technical design, define best practice, Develop re-usable & scalable DQ solution

Partner with Global & Enterprise data teams and consult on data quality capabilities to define, Implement and socialize data definitions, Standards / Polices.

Qualifications

• Minimum requirement of 10 years of relevant work experience. Typically reflects 12 years or more of relevant experience.
• IDMC - Cloud Data Quality (CDQ), Data Integration (CI), Data Profiling (CDP) – Mandatory
• IDMC – Data Governance & Catalogue (CDGC), Application Integration (CAI) – Mandatory
• Informatica Address Doctor / AD6 / DAAS - Mandatory
• IDMC - Metadata Scanning, CLAIRE – Preferred
• Informatica Data Quality (IDQ) – Preferred
• IDMC -Administration, Operational Dashboard, Connections – Preferred