Designs, develops, maintains and optimizes internal company data architecture for multiple, complex databases / data warehouses required to operate the business
Oversees completion of data modelling for acquisition and database implementation collaborating with different stakeholders
Applies data extraction, transformation and loading techniques to connect large data sets from a variety of sources
Guides the creation of data collection frameworks for structured and unstructured data and solves highly complex data problems to generate features required by data scientists
Develops and maintains highly complex infrastructure systems (e.g., data warehouses, data lakes) including data access APIs
Reviews analysis and management of complex data and provides consultation to other data and analytics professionals on data standards and practices
Fosters a culture of sharing, reuse, design for scale stability, and operational efficiency of data and analytics solutions
Oversees build of repeatable data pipelines across multi- and hybrid-cloud environments of high complexity
Provides consultation on leveraging Automation & CI/CD extensively for scalability, repeatability, and reuse
Requirements
3+ years of experience building platforms and data products
1+ years of experience working with data and data warehousing business solutions
1+ years of experience with cloud-platform technologies (AWS, Azure, GCP)
Experience with data pipeline tools and Extract Transform Load (ETL) services
Experience with the configuration of Application Programming Interfaces (APIs) for data ingestion
Experience with Artificial Intelligence (AI) hardware and software integration
Experience with C++, Python, and Java
Preferred: A Bachelor of Science or higher from an accredited institution in Software Engineering, Computer Science, Computer Engineering or other technical degree
Preferred: Experience with DevOps/DevSecOps and CI/CD practices, Azure DevOps (ADO) or Team Foundation Server (TFS), GitLab, GIT, IIS, Windows Server
Preferred: Experience with PCF (Pivotal Cloud Foundry)/Tanzu and/or exposure to Amazon Web Services, Google Cloud Platform, or Microsoft Azure
Preferred: Experience with Cloud technologies and/or Cloud-native app development and microservices
Employer will not sponsor applicants for employment visa status
Drug Free Workplace: post-offer applicants and employees are subject to testing for substances when criteria is met
Relocation assistance is not a negotiable benefit for this position
Language Requirements: Not Applicable
Benefits
competitive base pay and variable compensation opportunities
opportunity to enroll in a variety of benefit programs
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