Designs, develops, maintains and optimizes internal company data architecture for complex databases/data warehouse required to operate the business
Completes data modelling for acquisition and database implementation collaborating with different stakeholders
Applies data extraction, transformation and loading techniques to connect large and complex data sets from a variety of sources
Leads the creation of data collection frameworks for structured and unstructured data and solves complex data problems to generate features required by data scientists
Guides other data and analytics professionals on data standards and practices
Creates a culture of sharing, reuse, design for scale stability, and operational efficiency of data and analytics solutions
Leads build of repeatable data pipelines across complex multi- and hybrid-cloud environments
Leverages Automation extensively for scalability, repeatability, and reuse

Requirements

1+ years of experience building platforms and data products
1+ years of experience working with data and data warehousing business solutions
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

Benefits

health insurance
flexible spending accounts
health savings accounts
retirement savings plans
life and disability insurance programs
paid and unpaid time away from work

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data architecturedata modelingdata extractiondata transformationdata loadingdata pipelinescloud-platform technologiesETL servicesAPIsC++, Python, Java

Soft Skills

collaborationleadershipproblem-solvingcommunicationoperational efficiencyscalabilityreusedesign for scale stability