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You will be updated with latest job alerts via email5years
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Salary Not Disclosed
1 Vacancy
EXPERIENCE AND EDUCATION:
Essential Qualifications/Experience:
Ability to design build and manage data pipelines for data structures encompassing data transformation data models schemas metadata and workload management
2years experience planning and maintaining data lakes and pipeline processes both batchwise and (near) realtime
Experience in working with large heterogeneous datasets in building and optimizing data pipelines pipeline architectures and integrated datasets using data integration technologies.
Experience in using of data engineering tools to support data science data analytics and data visualisation
Experience with stateoftheart data engineering analytics data integration and pipeline tools/programming language
Solid understanding of data security best practices including data encryption access controls authentication/authorization mechanisms and compliance requirements
Experience with monitoring and logging tools to ensure the reliability and performance of data pipelines and AI systems
Familiarity with containerization and orchestration tools such as Docker and Kubernetes
Knowledge of best practice of software development. E.g CI/CD pipelines unit/functional testing following styling guides
Data engineering
Designs and implements data pipelines and data stores to acquire and prepare data
Applies data engineering standards and tools to create and maintain data pipelines and extract transform and load data
Carries out routine data quality checks and remediation
Programming/software development
Designs codes verifies tests documents amends and refactors moderately complex programs/scripts
Applies agreed standards and tools to achieve a wellengineered result
Identifies issues related to software development activities
Proposes practical solutions to resolve issues
Collaborates in reviews of work with others as appropriate
Systems integration and build
Defines the software modules needed for an integration build and produces a build definition for each generation of the software
Data management
Assesses the integrity of data from multiple sources
Provides advice on the transformation of data from one format/medium to another
Enables the availability integrity and search ability of information through the application of formal data and metadata structures and protection measures
Data modelling and design
Applies standard data modelling and design techniques based upon a detailed understanding of requirements
Establishes modifies and maintains data structures and associated components
Communicates the details of data structures and associated components to others using the data structures and associated components
Full Time