To design, develop, implement and maintain scalable and robust data integration interfaces and data models required by Analysts, Data Product Owners and Data Scientists
- Advanced working Python knowledge and experience working with relational databases, query authoring Python as well as working familiarity with a variety of databases.
- Experience building and optimizing data pipelines, architectures and data sets.
- Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
- Strong analytic skills related to working with unstructured datasets.
- Build processes supporting data transformation, data structures, metadata, dependency and workload management.
- A successful history of manipulating, processing and extracting value from large, disconnected datasets.
- Strong project management and organizational skills.
Experience supporting and working with cross-functional teams in a dynamic environment.
Skills required
- Build processes supporting data transformation, data structures, metadata, dependency and workload management.
- A successful history of manipulating, processing and extracting value from large, disconnected datasets.
- Strong project management and organizational skills.
- Experience supporting and working with cross-functional teams in a dynamic environment.