machine learning Model front-end and back-end data sources to help draw a more comprehensive picture of user transform, and aggregate data from disparate sources and deliver quality usable data to data analysts
open-source databases Experience with CI / CD tools (like Azure DevOps) and Artifact Management (preferably
and other flat file types and any related data sources. Proficient in Python or R or willingness to learn
Must have Lead Experience Intimate knowledge of source systems as well as a basic understanding of dimensional
back-end systems Model front-end and back-end data sources to help draw a more comprehensive picture of user
transform, and load data from a wide variety of data sources using SQL, AWS big data technologies and Kafka
Access Management. Service Management: Incidents Monitoring, manage SLAs, problem management reporting Logstash, Influx DB, Dynatrace, Oracle, Postgres, Management of Keys, Certificates and Secrets Dev: Java, Provide middleware support and configuration management for application dependant software i.e., Webservers
be instrumental in designing, developing, and managing scalable, secure, and robust cloud infrastructure develop, and manage scalable, secure, and robust cloud infrastructure on AWS. Implement and manage CI/CD pipelines with Kubernetes for container orchestration and management. Strong problem-solving skills and the ability
in improved results Data Visualization Change management mind-set, has to be able to adjust to different and verbal communications. Strong relationship management, negotiating & influencing Ability to identify processes an advantage 3 years' operating at a manager level. Audit, especially big four audit firm experience
committed to providing banking insurance and asset management services have an open role for a Data Engineer transformation and loading of data Build, create, manage and optimise data pipelines Create data tooling