traditional retail market through powerful data pipelines. Responsibilities: Help streamline our data science intelligence teams to develop data models and pipelines for research, reporting, and machine learning to enable powerful data analysis. Build data pipelines that clean, transform, and aggregate data from
Infrastructure-as-code, rapid and collaborative code pipelines and other DevOps principles. IS This you?? Start Infrastructure-as-code, rapid and collaborative code pipelines and other DevOps principles Experience with Terraform
data Build, create, manage and optimise data pipelines Create data tooling, enabling data consumers in solutions 8-10 years deep understanding of data pipelining and performance optimisation 8-10 years' experience
and data pipeline in line with business user specifications Develop and implement ETL pipelines aligned
experience in designing and implementing data ETL/ELT pipelines using tools such as Azure Data Factory, Azure systems (e.g., Git), unit testing, and CI/CD pipelines. Excellent problem-solving skills and the ability
Responsible for building and maintaining Big Data Pipelines using Data Platforms Custodians of data and must in architecting and implementing scalable data pipelines in cloud environments Usage and management of
transform, and load). Assist in creating data pipelines from source to target platforms. Experience in
applications, seamlessly integrating pieces in the CI/CD pipeline? A Leading Financial Powerhouse requires a Senior
Experience with Unix/Linux Knowledge of CI/CD pipelines and DevOps best practices Knowledge of networking
deployment processes. Develop and optimize CI/CD pipelines to automate build, test, and deployment processes