Role Description:
Support our software developers, architects, and data owners across various data initiatives and ensures an optimal and consistent data delivery architecture. They must comfortable supporting the data needs of multiple teams, systems
Responsibilities:
Design, construct, test and maintain data architectures and data pipelines
Ensure our data architecture supports the requirements of the business
Develop custom data models and algorithms to apply to data sets
Assess the effectiveness and accuracy of new data sources and data gathering techniques. Discover opportunities for data acquisition
Develop data set processes for data modeling, mining and production
Proficiencies:
Demonstrates knowledge of the following processes, tools or applications
Experienced in designing, building and managing data pipelines for data structures
Expertise with advanced analytics tools for Object-oriented/object function scripting. Includes languages such as C#, Python and others
Expert in SQL, PL/SQL, SSIS and SSAS
Qualifications:
Bachelor's or Master's degree in computer science, statistics, applied mathematics, data management, information systems, information science or a related quantitative field or equivalent work experience
At least five years’ experience in data management disciplines including data integration, modeling, optimization and data quality, and/or other areas directly relevant to data engineering responsibilities and tasks
At least three years’ experience working in cross-functional teams and collaborating with business stakeholders in support of a departmental and/or multi-departmental data management and analytics initiative