providing innovative financial services have an opportunity for a Data Engineer who will take responsibility
current need is for an Intermediate C# Software Engineer to join the team. This is your big chance to immerse Relevant 3-year qualification (Computer Science, Engineering, or similar) Microsoft Certifications for the
Are you an experienced DevOps Engineer with a passion for finance and cutting-edge technologies? Do you About Us: This company is a leading financial services provider committed to delivering innovative and capabilities, they are seeking a talented Senior DevOps Engineer to play a key role in driving their infrastructure Computer Science, Engineering, or related field. Proven experience as a DevOps Engineer in a fast-paced
and customized solutions. If you're a skilled QA Engineer ready to make a difference, come join our dynamic
research. They are looking for a top-notch Cloud Engineer with a strong background in C# and Azure cloud working C# .NET stack Minimum of 4 years as a cloud engineer and a preferred choice to work with Azure: Azure
financial services group committed to providing banking insurance and asset management services have an an open role for a Data Engineer to execute data engineering duties according to the standards, frameworks database programming languages Azure Kafka Spark SQL Power BI Python The Reference Number for this position
their wing is currently scouting for a Senior Data Engineer. You will be responsible for developing high quality like Information Systems, Big Data Azure Data Engineer Certification would be advantageous Related Technical Synapse Azure Data Factory Azure Data Lake Azure Power BI Azure DevOps Wherescape 3D Wherescape RED SQL knowledge of Data Ops Understanding of API-based services (e.g. REST, SOAP) Understanding of basic integration
Terraform or Ansible) Knowledge of Web Services/Micro Services (RESTful) Excellent understanding of CI/CD following technologies is beneficial: Azure DevOps, Service Fabric, Redis, Rancher, ASP.NET, .Net Core, RabbitMQ
Africa broadly are in the market for a Junior Data Engineer . The ideal candidate will have a strong analytical user flows throughout the system and to enable powerful data analysis. Build data pipelines that clean in computer science, information technology, engineering, or related analytical discipline required. Three SQL, and data visualization/exploration tools (Power BI, Tableau etc). Familiarity with common python
(Logistic regression, random forest, etc) Ability to train and maintain models Data cleaning and pre-processing removing outliers, etc) Ability to do feature engineering towards specific predictable targets (Not just model performance approaches in the context of the training approaches taken (Classification Models, Confusion Qualifications & Experience: A degree in either engineering, data science, statistics, computer science, experience in software and software engineering, financial services data processes, technical business