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Principal Responsibilities: Building distributed an d highly parallelised Big data ingestion an d processing pipeline which process massive amount of data (both structured an d unstructured data) in near real-time.Evaluate an d deploy data quality framework to measures an d improve data quality in the organization over time. Engaged with data stewards, producers an d consumers to design appropriate data pipelines.Automate processes where possible an d are repeatable an d reliable.Work closely with Site Reliability Engineers an d Product Managers to deliver software in a continuous delivery environment.
Knowledge, Skills & Qualifications:Data driven thinking. Experience in container technologies (openshift, docker Or k8s).Delivery focus with strong product mindset.Knowledge in design an d implementing data infrastructure on AWS Or GCP.Excellent communication skills an d experience working in cross functional teams.Over 3 years experience in data engineering. Experience:Experience in Apache Spark an d Nifi.Experience in in-memory data processing.Experience in implementing data security capabilities such as encryption an d anonymisation.Solid grounding in Financial Services Industry.Solid knowledge in SQL.Understanding in statistical models, machine learning, graph analysis Key Relationships: Internal Team LeadWorking relationship with other members of the Team注意:只接受中英文简历!
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