#316105
ng data systems and architectures to implement the identified areas for improvement and optimization.
DATA INFRASTRUCTURE: Helps prepare data infrastructure to support the efficient storage and retrieval of data.
DATA FORMATS: Implements appropriate data formats to improve data usability and accessibility across the organization.
STAKEHOLDER MANAGEMENT: Partners with multi-functional data and advanced analytic teams to collect requirements and ensure that data solutions meet the functional and non-functional needs of various partners.
DATA FRAMEWORKS: Builds moderately complex prototypes to test new concepts and implements data engineering frameworks and architectures to support the improvement of data processing capabilities and advanced analytics initiatives.
AUTOMATED DEPLOYMENT PIPELINES: Implements automated deployment pipelines to support improving efficiency of code deployments with fit for purpose governance.
DATA MODELING: Performs moderately complex data modeling aligned with the datastore technology to ensure sustainable performance and accessibility.
Qualifications