Senior/ Data Engineer - DSC/EZ

Job Detail

• Work with stakeholders including customers, partners and colleagues on data-related technical issues and support their data infrastructure needs; • Work closely with data scientists to solicit data requirements to support modeling works • Design, develop, document, manage and maintain data models, ETL processes, data warehouse, data management and pipeline solutions for large volume of structured/unstructured data from disparate sources and with different latencies (e.g. on-demand, batch, real-time, near-real-time); • Define, monitor and report SLAs for data pipelines and data products; • Understand data security and governance standards or requirements to implement solutions that ensure adherence to these standards or meet such requirements; • Drive/execute data quality assurance practices; and • Support data management solutions pre-sales initiatives, proposal development and provide post-sales support. • Work with stakeholders including customers, partners and colleagues on data-related technical issues and support their data infrastructure needs; • Work closely with data scientists to solicit data requirements to support modeling works • Design, develop, document, manage and maintain data models, ETL processes, data warehouse, data management and pipeline solutions for large volume of structured/unstructured data from disparate sources and with different latencies (e.g. on-demand, batch, real-time, near-real-time); • Define, monitor and report SLAs for data pipelines and data products; • Understand data security and governance standards or requirements to implement solutions that ensure adherence to these standards or meet such requirements; • Drive/execute data quality assurance practices; and • Support data management solutions pre-sales initiatives, proposal development and provide post-sales support. • Work with stakeholders including customers, partners and colleagues on data-related technical issues and support their data infrastructure needs; • Work closely with data scientists to solicit data requirements to support modeling works • Design, develop, document, manage and maintain data models, ETL processes, data warehouse, data management and pipeline solutions for large volume of structured/unstructured data from disparate sources and with different latencies (e.g. on-demand, batch, real-time, near-real-time); • Define, monitor and report SLAs for data pipelines and data products; • Understand data security and governance standards or requirements to implement solutions that ensure adherence to these standards or meet such requirements; • Drive/execute data quality assurance practices; and • Support data management solutions pre-sales initiatives, proposal development and provide post-sales support. • Work with stakeholders including customers, partners and colleagues on data-related technical issues and support their data infrastructure needs; • Work closely with data scientists to solicit data requirements to support modeling works • Design, develop, document, manage and maintain data models, ETL processes, data warehouse, data management and pipeline solutions for large volume of structured/unstructured data from disparate sources and with different latencies (e.g. on-demand, batch, real-time, near-real-time); • Define, monitor and report SLAs for data pipelines and data products; • Understand data security and governance standards or requirements to implement solutions that ensure adherence to these standards or meet such requirements; • Drive/execute data quality assurance practices; and • Support data management solutions pre-sales initiatives, proposal development and provide post-sales support.