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Job Responsibilities:
Designs, and implements best in class automation (RPA) solutions, data ingestion strategies, data warehouse and data mart structures, semantic layers and models, visualizations, streaming processes, and API integrations for end-to-end data analytics solutions on primarily, but not limited to, cloud analytics platforms such as Azure and AWS
Listens to client needs to align solution with business requirements and delivery schedule
Creates written functional and technical designs
Participates in project status and stand meetings, and assists with providing project status for project and program managers
Assists with SLA compliance of solutions, and performs performance tuning and optimization efforts of end-to-end solutions
Prepares solution design documents and develops framework for automating scripting-based processes
Creates reusable workflows and library components to reduce the development time and increase maintainability
Delivers high-performance, scalable, repeatable, and secure deliverables with broad impact (high throughput and low latency)
Assists with implementation of governance programs and best practices
Performs the cleaning and transforming of data from source systems into analytics models
Implements models to support data visualizations and integrations is preferred
Assists with implementing DevOps, DataOps and MLOps methodologies on projects
Works directly with clients and team members to establish secure data analytics platforms and infrastructure
Contributes to successful deployments of developed solutions and integration of DevOps tools
Maintains a broad and current understanding of process automation, data analytics and business intelligence strategies, cloud platforms, methodologies, and tools
Builds client relationships during project execution
Participates in support activities for existing software solutions
Other duties as assigned
Education:
High School Diploma or GED equivalent, required
Bachelor’s degree, preferred; focus in Information Systems, Data Science or Computer Science, preferred
Experience:
5 to 12 of experience within Process Automation, Data Analytics, Business Intelligence, Artificial Intelligence, Application Development, required
Hands-on work-related experience in designing, delivering, and managing automation solutions, preferred
Work arrangement
Hybrid
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