Cargill
Sr. Data Engineer
Job Description
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
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Accountable for Data Quality solution design, development, Test, and Operationalization across Cargill.
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Closely work with DQ engineering team and provide technical support and mentorship wherever required
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Understand functional/ technical design, define best practice, Develop re-usable & scalable DQ solution
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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