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Python & Data Science Interns

Overview

The ideal candidate will be responsible for developing object-oriented python-based data apps, analytical apps, data visualization dashboards, and integrations with various products such as apache-Kafka, Metabase, service-now, neo4j, SQL & NoSQL-databases, and cloud platforms (AWS, Azure, GCP).

Specific Skills
  • Data Analytics
  • Data Structures
  • Python
Responsible For
  • Design, build, test, and deploy Data Engineering & Analytics based apps in containers
  • Design and build data visualization dashboards in Metabase
  • Analyze various customers integration requirements and develop automation packages
  • Discover and fix programming bugs
  • Collaborate with customers and engineers to deliver a high-quality product
  • Setup an open-source style model to collaborate with our customers and jointly build packs
  • Work on graph analytics to deliver a patented solution
Job Nature
Full Time
Educational Requirements
  • Bachelor/Master’s degree in computer science or related field
  • Experience with advanced python programming (OOP)
  • Good knowledge of programming skills
  • Good knowledge of any data analytics dashboard/visualization product
  • Understanding of DevOps tools and agile methodology
  • Understanding of deploying applications on any of AWS/GCP/ Azure Clouds is plus
  • Understanding Docker and Kubernetes is plus
Job Location
Remote, USA
Job Level
Interns

How to Apply

 

Interested candidates can send their resumes to contact@blazop.com mentioning "Job Title" in the subject line.

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blaZop is an AI-powered hyper-automation & observability platform that enables autonomous IT and cloud operations. It empowers teams to achieve more with less effort, consolidate tools, reduce operational costs, establish and maintain more secure and standardized environments, minimize outages, and gain an insightful view of all IT and cloud services from a single interface. The unified platform includes a range of integrated products for managing the entire lifecycle (design, build, operate, and optimize) of multi-vendor & complex IT and cloud environments.

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