What are the responsibilities and job description for the Informatica IDMC Administrator Minneapolis - MN - Minnesota position at Jobs via Dice?
Minneapolis MN
Job Description:
>> Seeking a highly experienced informatica intelligent data management cloud (IDMC) professional with deep expertise in cloud data integration administration, platform governance and automation.
>> Role involves architecting, managing and optimizing enterprise-scale IDMC environments, ensuring security, scalability and performance.
>> Lead administration and strategic management of informatica IDMC environment including: Data integration, Application integration, API Management, Data Governance & Catalog (CDGC).
>> Collaborate with the enterprise IT to ensure network proxy and firewall configurations are aligned with IDMC connectivity requirement.
>> Partner with the informatica support and engineering teams for issues resolutions and platform enhancement.
>> Migration of power center workloads to IDMC.
>> Parameterization, runtime environments and connection governance.
>> Advanced troubleshooting using agent logs, activity logs and rest APIs diagnostics.
>> Deep understanding of ETL, data pipelines orchestrations and data governance principles.
Job Description:
>> Seeking a highly experienced informatica intelligent data management cloud (IDMC) professional with deep expertise in cloud data integration administration, platform governance and automation.
>> Role involves architecting, managing and optimizing enterprise-scale IDMC environments, ensuring security, scalability and performance.
>> Lead administration and strategic management of informatica IDMC environment including: Data integration, Application integration, API Management, Data Governance & Catalog (CDGC).
>> Collaborate with the enterprise IT to ensure network proxy and firewall configurations are aligned with IDMC connectivity requirement.
>> Partner with the informatica support and engineering teams for issues resolutions and platform enhancement.
>> Migration of power center workloads to IDMC.
>> Parameterization, runtime environments and connection governance.
>> Advanced troubleshooting using agent logs, activity logs and rest APIs diagnostics.
>> Deep understanding of ETL, data pipelines orchestrations and data governance principles.