Collaborate with the infrastructure team to ensure optimal extraction, transformation and loading of data in the current and future systems using technologies like Redshift, Hive, S3, PySpark, Elasticsearch, R, EMR.
Generation of the client specific multi-tenant large, complex data layers that meets and exceeds the demanding functional / non-functional needs of our SaaS based Web Application.
Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing solutions for greater scalability.
Develop Analytic Dashboards, utilizing tools like Tableau and RStudio, that utilize our data pipeline metrics to provide actionable insights, operational efficiency and other key technical and business performance enhancing opportunities.
Experience supporting and working with cross-functional teams in a dynamic environment.
DATA SCIENCE TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. DATA SCIENCE TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will DATA SCIENCE TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract